# mdate key author title booktitle year url crossref ee month pages note cdrom volume number publtype conf cite editor
1 2019-07-30 www/org/mitre/future Arnon Rosenthal The Future of Classic Data Administration: Objects + Databases + CASE SWEE 1998 db/conf/swee/swee1998.html conf/swee/1998
2 2019-08-02 persons/Codd74 E. F. Codd Seven Steps to Rendezvous with the Casual User. IFIP Working Conference Data Base Management 1974 db/conf/ds/dbm74.html#Codd74 conf/ds/1974 January 179-200 IBM Research Report RJ 1333, San Jose, California DS/DS1974/P179.pdf
3 2017-05-20 journals/lncs/BollingerLP91 Toni Bollinger,Sven Lorenz,Udo Pletat The LILOG Inference Engine. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#BollingerLP91 journals/lncs/1991-546 402-427
4 2017-05-20 journals/lncs/CarstensenS91 Kai-Uwe Carstensen,Geoffrey Simmons Why a Hill Can't be a Valley: Representing Gestalt and Position Properties of Objects with Object Schemata. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#CarstensenS91 journals/lncs/1991-546 632-644
5 2017-05-20 journals/lncs/FlaterY93 David W. Flater,Yelena Yesha Towards Flexible Distributed Information Retrieval. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#FlaterY93 journals/lncs/1993-759 259-276
6 2017-06-06 journals/lncs/RollingerH91 Claus-Rainer Rollinger,Otthein Herzog Introducing LILOG. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#RollingerH91 journals/lncs/1991-546 3-13
7 2017-05-20 journals/lncs/BhargavaJSD93 Bharat K. Bhargava,Yin-he Jiang,Jagannathan Srinivasan,Prasun Dewan Transition From A Relation To Object Model Implementation. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#BhargavaJSD93 journals/lncs/1993-759 87-103
8 2017-05-20 journals/lncs/DorreR91 Jochen Dörre,Ingo Raasch The STUF Workbench. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#DorreR91 journals/lncs/1991-546 55-62
9 2017-05-20 journals/lncs/Emde91 Werner Emde Managing Lexical Knowledge in LEU/2. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Emde91 journals/lncs/1991-546 167-179
10 2017-05-20 journals/lncs/Ridoux94 Olivier Ridoux Imagining CLP(A, equiv alpha beta) Constraint Programming 1994 db/journals/lncs/lncs910.html#Ridoux94 journals/lncs/1994-910 209-230
11 2017-05-20 journals/lncs/Blasius91 Karl-Hans Bläsius Knowledge Based Control of the LILOG Inference Engine: Kinds of Metaknowledge. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Blasius91 journals/lncs/1991-546 428-438
12 2017-05-20 journals/lncs/LuckP91 Kai von Luck,Thomas Pirlein Constructing a Context for LEU/2. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#LuckP91 journals/lncs/1991-546 703-710
13 2017-05-20 journals/lncs/GhafoorB93 Arif Ghafoor,P. Bruce Berra Multimedia Database Systems. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#GhafoorB93 journals/lncs/1993-759 397-411
14 2017-05-20 journals/lncs/Dorre91 Jochen Dörre The Language STUF. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Dorre91 journals/lncs/1991-546 39-50
15 2017-05-20 journals/lncs/KloseL91 Gudrun Klose,Kai von Luck The Background Knowledge of the LILOG System. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#KloseL91 journals/lncs/1991-546 455-463
16 2017-05-20 journals/lncs/Rauzy94 Antoine Rauzy Toupie: a Constraint Language for Model Checking Constraint Programming 1994 db/journals/lncs/lncs910.html#Rauzy94 journals/lncs/1994-910 193-208
17 2017-05-20 journals/lncs/Wesche91 Birgit Wesche An Alternative Phrase Structure Account of Symmetric Coordination. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Wesche91 journals/lncs/1991-546 200-215
18 2017-05-20 journals/lncs/Seifert91 Roland Seiffert Chart-Parsing of STUF Grammars. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Seifert91 journals/lncs/1991-546 51-54
19 2017-05-20 journals/lncs/SiegelmannF93 Hava T. Siegelmann,Ophir Frieder Document Allocation In Multiprocessor Information Retrieval Systems. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#SiegelmannF93 journals/lncs/1993-759 289-310
20 2017-05-20 journals/lncs/Gust91 Helmar Gust Representing Word Meanings. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Gust91 journals/lncs/1991-546 127-142
21 2017-05-20 journals/lncs/Lang91 Ewald Lang The LILOG Ontology from a Linguistic Point of View. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Lang91 journals/lncs/1991-546 464-481
22 2018-11-02 journals/lncs/Bockmayr94 Alexander Bockmayr Solving Pseudo-Boolean Constraints Constraint Programming 1994 db/journals/lncs/lncs910.html#Bockmayr94 journals/lncs/1994-910 22-38
23 2017-05-20 journals/lncs/KissW91 Tibor Kiss,Birgit Wesche Verb Order and Head Movement. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#KissW91 journals/lncs/1991-546 216-240
24 2017-05-20 journals/lncs/Konig91 Esther König Gap-Handling Mechanisma In Categorial Grammars. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Konig91 journals/lncs/1991-546 88-101
25 2017-05-20 journals/lncs/Browne93 Shirley Browne Communication and Synchronization Issues in Distributed Multimedia Database Systems. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#Browne93 journals/lncs/1993-759 381-396
26 2017-05-20 journals/lncs/SubramanianA93 Ramesh Subramanian,Nabil R. Adam Applying OOAD in the Design and Implementation of an Intelligent Geographic Information System. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#SubramanianA93 journals/lncs/1993-759 127-150
27 2017-05-20 journals/lncs/WachsmuthG91 Ipke Wachsmuth,Barbara Gängler Knowledge Packets and Knowledge Packet Structure. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#WachsmuthG91 journals/lncs/1991-546 380-393
28 2017-05-20 journals/lncs/Wilms91 Jan Wilms The Text Understanding System LEU/2. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Wilms91 journals/lncs/1991-546 711-718
29 2017-05-20 journals/lncs/Clifford93 James Clifford Indexical Databases. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#Clifford93 journals/lncs/1993-759 153-173
30 2017-05-20 journals/lncs/DorreS91 Jochen Dörre,Roland Seiffert A Formalism for Natural Language - STUF. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#DorreS91 journals/lncs/1991-546 33-38
31 2017-05-20 journals/lncs/SegevC93 Arie Segev,Rakesh Chandra A Data Model for Time-Series Analysis. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#SegevC93 journals/lncs/1993-759 191-212
32 2017-05-20 journals/lncs/HentenryckSD94 Pascal Van Hentenryck,Vijay A. Saraswat,Yves Deville Design, Implementation, and Evaluation of the Constraint Language cc(FD) Constraint Programming 1994 db/journals/lncs/lncs910.html#HentenryckSD94 journals/lncs/1994-910 293-316
33 2017-05-20 journals/lncs/LinkS91 Godehard Link,Hinrich Schütze The Treatment of Plurality in L-LILOG. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#LinkS91 journals/lncs/1991-546 342-352
34 2017-05-20 journals/lncs/Benhamou94 Frédéric Benhamou Interval Constraint Logic Programming Constraint Programming 1994 db/journals/lncs/lncs910.html#Benhamou94 journals/lncs/1994-910 1-21
35 2017-05-20 journals/lncs/Maienborn91 Claudia Maienborn Verbs of Motion and Position: On the Optionality of the Local Argument. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Maienborn91 journals/lncs/1991-546 621-631
36 2017-05-20 journals/lncs/Rueher94 Michel Rueher An Architecture for Cooperating Constraint Solvers on Reals Constraint Programming 1994 db/journals/lncs/lncs910.html#Rueher94 journals/lncs/1994-910 231-250
37 2017-05-20 journals/lncs/Ludewig91 Petra Ludewig Incremental Vocabulary Extensions in Text Understanding Systems. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Ludewig91 journals/lncs/1991-546 153-166
38 2017-05-20 journals/lncs/Kiss91 Tibor Kiss The Grammars of LILOG. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Kiss91 journals/lncs/1991-546 183-199
39 2017-05-20 journals/lncs/BorkelG91 Manfred Börkel,Peter Gerstl A Knowledge Engineering Environment for LILOG. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#BorkelG91 journals/lncs/1991-546 482-489
40 2017-05-20 journals/lncs/ElmasriK93 Ramez Elmasri,Vram Kouramajian A Temporal Query Language For A Conceptual Model. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#ElmasriK93 journals/lncs/1993-759 175-190
41 2017-05-20 journals/lncs/Arning91 Andreas Arning The Trace of Building a Large AI System. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Arning91 journals/lncs/1991-546 719-733
42 2017-05-20 journals/lncs/Seifert91a Roland Seiffert Unification-ID/LP Grammars: Formalization and Parsing. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Seifert91a journals/lncs/1991-546 63-73
43 2017-05-20 journals/lncs/AnderssonDSYTY93 Martin Andersson,Yann Dupont,Stefano Spaccapietra,Kokou Yétongnon,Markus Tresch,Haiyan Ye FEMUS: A Federated Multilingual Database System. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#AnderssonDSYTY93 journals/lncs/1993-759 359-380
44 2017-05-20 journals/lncs/NebelS91 Bernhard Nebel,Gert Smolka Attribute Description Formalisms ... and the Rest of the World. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#NebelS91 journals/lncs/1991-546 439-452
45 2017-05-20 journals/lncs/Fages94 François Fages Constructive Negation by Pruning and Optimizing Higher-Order Predicates for CLP and CC Languages Constraint Programming 1994 db/journals/lncs/lncs910.html#Fages94 journals/lncs/1994-910 68-89
46 2017-05-20 journals/lncs/GehaniJS93 Narain H. Gehani,H. V. Jagadish,Oded Shmueli COMPOSE: A System For Composite Specification And Detection. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#GehaniJS93 journals/lncs/1993-759 3-15
47 2017-05-20 journals/lncs/SuS93 Stanley Y. W. Su,Yuh-Ming Shyy An Object-Oriented Knowledge Model for KBMS-supported Evolutioinary Prototyping of Software Systems. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#SuS93 journals/lncs/1993-759 105-125
48 2017-05-20 journals/lncs/DobesN91 Zuzana Krifka Dobes,Hans-Joachim Novak from Knowledge Structures to Text Structures. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#DobesN91 journals/lncs/1991-546 670-684
49 2017-05-20 journals/lncs/AngeleFLNS91 Jürgen Angele,Dieter Fensel,Dieter Landes,Susanne Neubert,Rudi Studer Knowledge Engineering in the Context of Related Fields of Research. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#AngeleFLNS91 journals/lncs/1991-546 490-500
50 2017-05-20 journals/lncs/SandtG91 Rob A. van der Sandt,Bart Geurts Presupposition, Anaphora, and Lexical Content. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#SandtG91 journals/lncs/1991-546 259-296
51 2017-05-20 journals/lncs/CodognetN94 Philippe Codognet,Giuseppe Nardiello Enhancing the Constraint-Solving Power of CLP(FD) by Means of Path-Consistency Methods Constraint Programming 1994 db/journals/lncs/lncs910.html#CodognetN94 journals/lncs/1994-910 39-61
52 2017-05-20 journals/lncs/Pletat91 Udo Pletat The Knowledge Representation Language L-LILOG. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Pletat91 journals/lncs/1991-546 357-379
53 2017-05-20 journals/lncs/Mayer91 Rolf Mayer Anaphora and Domain Restriction. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Mayer91 journals/lncs/1991-546 297-312
54 2017-05-20 journals/lncs/Schmitt91 Peter H. Schmitt Deductive Aspects of Three-Valued Logic. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Schmitt91 journals/lncs/1991-546 394-401
55 2017-05-20 journals/lncs/Pribbenow91 Simone Pribbenow Phenomena of Localization. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Pribbenow91 journals/lncs/1991-546 609-620
56 2017-05-20 journals/lncs/Imbert94 Jean-Louis Imbert Linear Constraint Solving in CLP-Languages Constraint Programming 1994 db/journals/lncs/lncs910.html#Imbert94 journals/lncs/1994-910 108-127
57 2017-05-20 journals/lncs/Eberle91 Kurt Eberle On Representing the Temporal Structure of Texts. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Eberle91 journals/lncs/1991-546 313-341
58 2017-05-20 journals/lncs/Kanngiesser91 Siegfried Kanngießer Outlines of LEU/2 Lexicology. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Kanngiesser91 journals/lncs/1991-546 105-111
59 2017-05-20 journals/lncs/MontanariR94 Ugo Montanari,Francesca Rossi Concurrency and Concurrent Constraint Programming Constraint Programming 1994 db/journals/lncs/lncs910.html#MontanariR94 journals/lncs/1994-910 171-192
60 2017-05-20 journals/lncs/Charlier94 Baudouin Le Charlier Abstract Interpretation and Finite Domain Symbolic Constraints Constraint Programming 1994 db/journals/lncs/lncs910.html#Charlier94 journals/lncs/1994-910 147-170
61 2017-05-20 journals/lncs/Kirchner94 Hélène Kirchner On the Use of Constraints in Automated Deduction Constraint Programming 1994 db/journals/lncs/lncs910.html#Kirchner94 journals/lncs/1994-910 128-146
62 2017-05-20 journals/lncs/Comon94 Hubert Comon Constraints in Term Algebras: An Overview of Constraint Solving Techniques Constraint Programming 1994 db/journals/lncs/lncs910.html#Comon94 journals/lncs/1994-910 62-67
63 2017-05-20 journals/lncs/FranchittiK93 Jean-Claude Franchitti,Roger King Amalgame: A Tool for Creating Interoperating, Persistent, Heterogeneous Components. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#FranchittiK93 journals/lncs/1993-759 313-336
64 2017-05-20 journals/lncs/BrauerLS91 Wilfried Brauer,Peter C. Lockemann,Helmut Schnelle Text Understanding - The Challenges to Come. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#BrauerLS91 journals/lncs/1991-546 14-28
65 2017-05-20 journals/lncs/Novak91 Hans-Joachim Novak Integrating a Generation Component into a Natural Language Understanding System. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Novak91 journals/lncs/1991-546 659-669
66 2017-05-20 journals/lncs/Smolka94 Gert Smolka The Definition of Kernel Oz Constraint Programming 1994 db/journals/lncs/lncs910.html#Smolka94 journals/lncs/1994-910 251-292
67 2017-05-20 journals/lncs/Erbach91 Gregor Erbach A Flexible Parser for a Linguistic Development Environment. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Erbach91 journals/lncs/1991-546 74-87
68 2017-05-20 journals/lncs/VadapartyN93 Kumar V. Vadaparty,Shamim A. Naqvi The Decomposition Property of Non-Deterministic Databases. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#VadapartyN93 journals/lncs/1993-759 45-63
69 2017-05-20 journals/lncs/Wendholt91 Birgit Wendholt The Formulator. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Wendholt91 journals/lncs/1991-546 685-700
70 2017-05-20 journals/lncs/BertinoJS93 Elisa Bertino,Sushil Jajodia,Pierangela Samarati Access Control in Object-Oriented Database Systems - Some Approaches and Issues. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#BertinoJS93 journals/lncs/1993-759 17-44
71 2017-05-20 journals/lncs/Habel91 Christopher Habel Processing of Spatial Expressions in LILOG. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Habel91 journals/lncs/1991-546 598-608
72 2017-05-20 journals/lncs/SchillerS91 Anne Schiller,Petra Steffens Morphological Processing in the Two-Level Paradigm. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#SchillerS91 journals/lncs/1991-546 112-126
73 2017-05-20 journals/lncs/Tewari93 Raj Tewari Efficient Parallel Recovery in Replicated Databases. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#Tewari93 journals/lncs/1993-759 277-287
74 2017-05-20 journals/lncs/SheuP93 Phillip C.-Y. Sheu,Larry J. Peterson The Architecture of an Object Base Environment for Simulation. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#SheuP93 journals/lncs/1993-759 65-85
75 2017-05-20 journals/lncs/GadiaC93 Shashi K. Gadia,Vimal Chopra A Relational Model and SQL-like Query Language for Spatial Databases. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#GadiaC93 journals/lncs/1993-759 213-225
76 2017-05-20 journals/lncs/Khenkhar91 Mohammed Nadjib Khenkhar Object-Oriented Representation of Depictions on the Basis of Cell Matrices. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Khenkhar91 journals/lncs/1991-546 645-656
77 2017-05-20 journals/lncs/YuCWT93 Philip S. Yu,Ming-Syan Chen,Joel L. Wolf,John Turek Parallel Query Processing. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#YuCWT93 journals/lncs/1993-759 229-258
78 2017-05-20 journals/lncs/Fruhwirth94 Thom W. Frühwirth Constraint Handling Rules Constraint Programming 1994 db/journals/lncs/lncs910.html#Fruhwirth94 journals/lncs/1994-910 90-107
79 2017-05-20 journals/lncs/Rickheit91 Mechthild Rickheit Sortal Information in Lexical Concepts. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Rickheit91 journals/lncs/1991-546 143-152
80 2017-05-20 journals/lncs/KarabatisRS93 George Karabatis,Marek Rusinkiewicz,Amit P. Sheth Correctness and Enforcement of Multidatabase Interdependencies. Advanced Database Systems 1993 db/journals/lncs/lncs759.html#KarabatisRS93 journals/lncs/1993-759 337-358
81 2017-05-20 journals/lncs/BenzschawelGLLMW91 Stefan Benzschawel,Erich Gehlen,Michael Ley,Thomas Ludwig 0001,Albert Maier,Bernd Walter LILOG-DB: Database Support for Knowledge Based Systems. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#BenzschawelGLLMW91 journals/lncs/1991-546 501-594
82 2017-05-20 journals/lncs/Bosch91 Peter Bosch The Bermuda Triangle: Natural Language Semantics Between Linguistics, Knowledge Representation, and Knowledge Processing. Text Understanding in LILOG 1991 db/journals/lncs/lncs546.html#Bosch91 journals/lncs/1991-546 243-258
83 2019-05-29 journals/jmlr/MwebazeQ10 Ernest Mwebaze,John A. Quinn Fast Committee-Based Structure Learning. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#MwebazeQ10 conf/nips/2008coa 203-214
84 2019-05-29 journals/jmlr/YunV12 Hyokun Yun,S. V. N. Vishwanathan Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs. AISTATS 2012 db/journals/jmlr/jmlrp22.html#YunV12 conf/aistats/2012 1389-1397
85 2019-05-29 journals/jmlr/SharpnackSR12 James Sharpnack,Aarti Singh,Alessandro Rinaldo Sparsistency of the Edge Lasso over Graphs. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SharpnackSR12 conf/aistats/2012 1028-1036
86 2019-05-29 journals/jmlr/ForbesDGBD10 Florence Forbes,Senan Doyle,Daniel García-Lorenzo,Christian Barillot,Michel Dojat A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ForbesDGBD10 conf/aistats/2010 225-232
87 2019-05-29 journals/jmlr/CourvilleBB11 Aaron C. Courville,James Bergstra,Yoshua Bengio A Spike and Slab Restricted Boltzmann Machine. AISTATS 2011 db/journals/jmlr/jmlrp15.html#CourvilleBB11 conf/aistats/2011 233-241
88 2019-05-29 journals/jmlr/SiddiqiGM07 Sajid M. Siddiqi,Geoffrey J. Gordon,Andrew W. Moore 0001 Fast State Discovery for HMM Model Selection and Learning. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SiddiqiGM07 conf/aistats/2007 492-499
89 2019-05-29 journals/jmlr/DalalyanC12 Arnak S. Dalalyan,Olivier Collier Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DalalyanC12 conf/aistats/2012 264-272
90 2019-05-29 journals/jmlr/JainKT12 Prateek Jain 0002,Pravesh Kothari,Abhradeep Thakurta Differentially Private Online Learning. COLT 2012 db/journals/jmlr/jmlrp23.html#JainKT12 conf/colt/2012 24.1-24.34
91 2019-05-29 journals/jmlr/YuKRR09 Shipeng Yu,Balaji Krishnapuram,Rómer Rosales,R. Bharat Rao Active Sensing. AISTATS 2009 db/journals/jmlr/jmlrp5.html#YuKRR09 conf/aistats/2009 639-646
92 2019-05-29 journals/jmlr/TangM12 Yichuan Tang,Abdel-rahman Mohamed Multiresolution Deep Belief Networks. AISTATS 2012 db/journals/jmlr/jmlrp22.html#TangM12 conf/aistats/2012 1203-1211
93 2019-05-29 journals/jmlr/ErikssonBN12 Brian Eriksson,Laura Balzano,Robert D. Nowak High-Rank Matrix Completion. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ErikssonBN12 conf/aistats/2012 373-381
94 2019-05-29 journals/jmlr/BodoMC11 Zalán Bodó,Zsolt Minier,Lehel Csató Active Learning with Clustering. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#BodoMC11 conf/aistats/2010w 127-139
95 2019-05-29 journals/jmlr/ChenXWCK12 Minmin Chen,Zhixiang Eddie Xu,Kilian Q. Weinberger,Olivier Chapelle,Dor Kedem Classifier Cascade for Minimizing Feature Evaluation Cost. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ChenXWCK12 conf/aistats/2012 218-226
96 2021-01-23 journals/jmlr/AgakovOS12 Felix V. Agakov,Peter Orchard,Amos J. Storkey Discriminative Mixtures of Sparse Latent Fields for Risk Management. AISTATS 2012 db/journals/jmlr/jmlrp22.html#AgakovOS12 conf/aistats/2012 10-18
97 2019-05-29 journals/jmlr/ShamirT11 Ohad Shamir,Naftali Tishby Spectral Clustering on a Budget. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ShamirT11 conf/aistats/2011 661-669
98 2019-05-29 journals/jmlr/Pena11 José M. Peña 0001 Faithfulness in Chain Graphs: The Gaussian Case. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Pena11 conf/aistats/2011 588-599
99 2019-05-29 journals/jmlr/TrampusG10 Mitja Trampus,Marko Grobelnik Visualization of Online Discussion Forums. WAPA 2010 db/journals/jmlr/jmlrp11.html#TrampusG10 conf/wapa/2010 134-141
100 2019-05-29 journals/jmlr/KoideSOKM11 Akihiro Koide,Kazumi Saito,Kouzou Ohara,Masahiro Kimura,Hiroshi Motoda Estimating Diffusion Probability Changes for AsIC-SIS Model. ACML 2011 db/journals/jmlr/jmlrp20.html#KoideSOKM11 conf/acml/2011 297-313
101 2019-05-29 journals/jmlr/Garcia-SaizZ11 Diego García-Saiz,Marta E. Zorrilla Comparing classification methods for predicting distance students' performance. WAPA 2011 db/journals/jmlr/jmlrp17.html#Garcia-SaizZ11 conf/wapa/2011 26-32
102 2019-05-29 journals/jmlr/TrapeznikovSC12 Kirill Trapeznikov,Venkatesh Saligrama,David A. Castañón Multi-Stage Classifier Design. ACML 2012 db/journals/jmlr/jmlrp25.html#TrapeznikovSC12 conf/acml/2012 459-474
103 2019-05-29 journals/jmlr/SohnK12 Kyung-Ah Sohn,Seyoung Kim Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SohnK12 conf/aistats/2012 1081-1089
104 2019-05-29 journals/jmlr/JalaliRVS11 Ali Jalali,Pradeep Ravikumar,Vishvas Vasuki,Sujay Sanghavi On Learning Discrete Graphical Models using Group-Sparse Regularization. AISTATS 2011 db/journals/jmlr/jmlrp15.html#JalaliRVS11 conf/aistats/2011 378-387
105 2019-05-29 journals/jmlr/Saeed10 Mehreen Saeed The Use of Bernoulli Mixture Models for Identifying Corners of a Hypercube and Extracting Boolean Rules From Data. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#Saeed10 conf/nips/2008coa 225-236
106 2019-05-29 journals/jmlr/BaiWGCCM10 Bing Bai,Jason Weston,David Grangier,Ronan Collobert,Corinna Cortes,Mehryar Mohri Half Transductive Ranking. AISTATS 2010 db/journals/jmlr/jmlrp9.html#BaiWGCCM10 conf/aistats/2010 49-56
107 2019-05-29 journals/jmlr/MurrayAM10 Iain Murray 0001,Ryan Prescott Adams,David J. C. MacKay Elliptical slice sampling. AISTATS 2010 db/journals/jmlr/jmlrp9.html#MurrayAM10 conf/aistats/2010 541-548
108 2019-05-29 journals/jmlr/McCannLMJ10 Michael McCann,Yuhua Li,Liam P. Maguire,Adrian Johnston Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#McCannLMJ10 conf/nips/2008coa 277-288
109 2019-05-29 journals/jmlr/KaufmannCG12 Emilie Kaufmann,Olivier Cappé,Aurélien Garivier On Bayesian Upper Confidence Bounds for Bandit Problems. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KaufmannCG12 conf/aistats/2012 592-600
110 2019-05-29 journals/jmlr/Wood11 Frank D. Wood Discussion of "The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling". AISTATS 2011 db/journals/jmlr/jmlrp15.html#Wood11 conf/aistats/2011 83-84
111 2019-05-29 journals/jmlr/YamadaS11 Makoto Yamada,Masashi Sugiyama Cross-Domain Object Matching with Model Selection. AISTATS 2011 db/journals/jmlr/jmlrp15.html#YamadaS11 conf/aistats/2011 807-815
112 2019-05-29 journals/jmlr/HannekeY10 Steve Hanneke,Liu Yang 0001 Negative Results for Active Learning with Convex Losses. AISTATS 2010 db/journals/jmlr/jmlrp9.html#HannekeY10 conf/aistats/2010 321-325
113 2019-05-29 journals/jmlr/LiZ11 Ping Li 0001,Cun-Hui Zhang A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data. COLT 2011 db/journals/jmlr/jmlrp19.html#LiZ11 conf/colt/2011 477-496
114 2019-05-29 journals/jmlr/DanceZ11 Christopher R. Dance,Onno Zoeter Optimal and Robust Price Experimentation: Learning by Lottery. AISTATS 2011 db/journals/jmlr/jmlrp15.html#DanceZ11 conf/aistats/2011 242-250
115 2019-05-29 journals/jmlr/NallapatiMM11 Ramesh Nallapati,Daniel A. McFarland,Christopher D. Manning TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. AISTATS 2011 db/journals/jmlr/jmlrp15.html#NallapatiMM11 conf/aistats/2011 543-551
116 2019-05-29 journals/jmlr/SoufianiA12 Hossein Azari Soufiani,Edoardo M. Airoldi Graphlet decomposition of a weighted network. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SoufianiA12 conf/aistats/2012 54-63
117 2019-05-29 journals/jmlr/WanZF12 Li Wan,Leo Zhu,Rob Fergus A Hybrid Neural Network-Latent Topic Model. AISTATS 2012 db/journals/jmlr/jmlrp22.html#WanZF12 conf/aistats/2012 1287-1294
118 2019-05-29 journals/jmlr/WeissT10 David J. Weiss,Benjamin Taskar Structured Prediction Cascades. AISTATS 2010 db/journals/jmlr/jmlrp9.html#WeissT10 conf/aistats/2010 916-923
119 2019-09-17 journals/jmlr/Niculescu-MizilPSSLMWXHSSZ09 Alexandru Niculescu-Mizil,Claudia Perlich,Grzegorz Swirszcz,Vikas Sindhwani,Yan Liu 0002,Prem Melville,Dong Wang,Jing Xiao,Jianying Hu,Moninder Singh,Wei Xiong Shang,Yanfeng Zhu 0001 Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#Niculescu-MizilPSSLMWXHSSZ09 conf/kdd/2009kddcup 23-34
120 2019-05-29 journals/jmlr/ChenTCCLTWCLLYCLWPSWKMCFNLLL12 Po-Lung Chen,Chen-Tse Tsai,Yao-Nan Chen,Ku-Chun Chou,Chun-Liang Li,Cheng-Hao Tsai,Kuan-Wei Wu,Yu-Cheng Chou,Chung-Yi Li,Wei-Shih Lin,Shu-Hao Yu,Rong-Bing Chiu,Chieh-Yen Lin,Chien-Chih Wang,Po-Wei Wang,Wei-Lun Su,Chen-Hung Wu,Tsung-Ting Kuo,Todd G. McKenzie,Ya-Hsuan Chang,Chun-Sung Ferng,Chia-Mau Ni,Hsuan-Tien Lin,Chih-Jen Lin,Shou-De Lin A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#ChenTCCLTWCLLYCLWPSWKMCFNLLL12 conf/kdd/2011kddcup 21-60
121 2019-05-29 journals/jmlr/UsunierBB10 Nicolas Usunier,Antoine Bordes,Léon Bottou Guarantees for Approximate Incremental SVMs. AISTATS 2010 db/journals/jmlr/jmlrp9.html#UsunierBB10 conf/aistats/2010 884-891
122 2019-05-29 journals/jmlr/HazanK11b Elad Hazan,Satyen Kale A simple multi-armed bandit algorithm with optimal variation-bounded regret. COLT 2011 db/journals/jmlr/jmlrp19.html#HazanK11b conf/colt/2011 817-820
123 2019-05-29 journals/jmlr/KumarZT12 Akshat Kumar,Shlomo Zilberstein,Marc Toussaint Message-Passing Algorithms for MAP Estimation Using DC Programming. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KumarZT12 conf/aistats/2012 656-664
124 2019-05-29 journals/jmlr/MannorPS11 Shie Mannor,Vianney Perchet,Gilles Stoltz Robust approachability and regret minimization in games with partial monitoring. COLT 2011 db/journals/jmlr/jmlrp19.html#MannorPS11 conf/colt/2011 515-536
125 2019-05-29 journals/jmlr/RakhlinST11 Alexander Rakhlin,Karthik Sridharan,Ambuj Tewari Online Learning: Beyond Regret. COLT 2011 db/journals/jmlr/jmlrp19.html#RakhlinST11 conf/colt/2011 559-594
126 2019-05-29 journals/jmlr/Garcia-GarciaW12 Dario García-García,Robert C. Williamson Divergences and Risks for Multiclass Experiments. COLT 2012 db/journals/jmlr/jmlrp23.html#Garcia-GarciaW12 conf/colt/2012 28.1-28.20
127 2019-05-29 journals/jmlr/SaeysLIWP08 Yvan Saeys,Huan Liu,Iñaki Inza,Louis Wehenkel,Yves Van de Peer Preface. FSDM 2008 db/journals/jmlr/jmlrp4.html#SaeysLIWP08 conf/pkdd/2008fsdm 1-4
128 2019-05-29 journals/jmlr/Elidan12a Gal Elidan Lightning-speed Structure Learning of Nonlinear Continuous Networks. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Elidan12a conf/aistats/2012 355-363
129 2019-05-29 journals/jmlr/WangYCW12 Jiang Wang 0001,Junsong Yuan,Zhuoyuan Chen,Ying Wu 0001 Spatial Locality-Aware Sparse Coding and Dictionary Learning. ACML 2012 db/journals/jmlr/jmlrp25.html#WangYCW12 conf/acml/2012 491-505
130 2019-05-29 journals/jmlr/SongGG10 Le Song,Arthur Gretton,Carlos Guestrin Nonparametric Tree Graphical Models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SongGG10 conf/aistats/2010 765-772
131 2019-05-29 journals/jmlr/EatonM07 Daniel Eaton,Kevin P. Murphy Exact Bayesian structure learning from uncertain interventions. AISTATS 2007 db/journals/jmlr/jmlrp2.html#EatonM07 conf/aistats/2007 107-114
132 2019-05-29 journals/jmlr/MicletBJ12 Laurent Miclet,Nelly Barbot,Baptiste Jeudy A Lattice of Sets of Alignments Built on the Common Subwords in a Finite Language. ICGI 2012 db/journals/jmlr/jmlrp21.html#MicletBJ12 conf/icgi/2012 164-176
133 2019-05-29 journals/jmlr/NiuDJ11 Donglin Niu,Jennifer G. Dy,Michael I. Jordan Dimensionality Reduction for Spectral Clustering. AISTATS 2011 db/journals/jmlr/jmlrp15.html#NiuDJ11 conf/aistats/2011 552-560
134 2019-05-29 journals/jmlr/NevenDRM12 Hartmut Neven,Vasil S. Denchev,Geordie Rose,William G. Macready QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. ACML 2012 db/journals/jmlr/jmlrp25.html#NevenDRM12 conf/acml/2012 333-348
135 2019-05-29 journals/jmlr/SuzukiS12 Taiji Suzuki,Masashi Sugiyama Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SuzukiS12 conf/aistats/2012 1152-1183
136 2019-05-29 journals/jmlr/ZaanenN12 Menno van Zaanen,Nanne van Noord Model Merging versus Model Splitting Context-Free Grammar Induction. ICGI 2012 db/journals/jmlr/jmlrp21.html#ZaanenN12 conf/icgi/2012 224-236
137 2019-05-29 journals/jmlr/KaratzoglouSW10 Alexandros Karatzoglou,Alexander J. Smola,Markus Weimer Collaborative Filtering on a Budget. AISTATS 2010 db/journals/jmlr/jmlrp9.html#KaratzoglouSW10 conf/aistats/2010 389-396
138 2019-05-29 journals/jmlr/Shawe-TaylorH09 John Shawe-Taylor,David R. Hardoon PAC-Bayes Analysis Of Maximum Entropy Classification. AISTATS 2009 db/journals/jmlr/jmlrp5.html#Shawe-TaylorH09 conf/aistats/2009 480-487
139 2019-05-29 journals/jmlr/LacosteLM12 Alexandre Lacoste,François Laviolette,Mario Marchand Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LacosteLM12 conf/aistats/2012 665-675
140 2019-05-29 journals/jmlr/KrupkaT07 Eyal Krupka,Naftali Tishby Incorporating Prior Knowledge on Features into Learning. AISTATS 2007 db/journals/jmlr/jmlrp2.html#KrupkaT07 conf/aistats/2007 227-234
141 2019-05-29 journals/jmlr/KiralyBMBMM12 Franz J. Király,Paul von Bünau,Jan Saputra Müller,Duncan A. J. Blythe,Frank C. Meinecke,Klaus-Robert Müller Regression for sets of polynomial equations. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KiralyBMBMM12 conf/aistats/2012 628-637
142 2019-05-29 journals/jmlr/ChuG09 Wei Chu,Zoubin Ghahramani Probabilistic Models for Incomplete Multi-dimensional Arrays. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ChuG09 conf/aistats/2009 89-96
143 2019-05-29 journals/jmlr/FysheFDM12 Alona Fyshe,Emily B. Fox,David B. Dunson,Tom M. Mitchell Hierarchical Latent Dictionaries for Models of Brain Activation. AISTATS 2012 db/journals/jmlr/jmlrp22.html#FysheFDM12 conf/aistats/2012 409-421
144 2019-05-29 journals/jmlr/CsekeH10 Botond Cseke,Tom Heskes Improving posterior marginal approximations in latent Gaussian models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#CsekeH10 conf/aistats/2010 121-128
145 2019-05-29 journals/jmlr/EntnerHS12 Doris Entner,Patrik O. Hoyer,Peter Spirtes Statistical test for consistent estimation of causal effects in linear non-Gaussian models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#EntnerHS12 conf/aistats/2012 364-372
146 2020-03-19 journals/jmlr/ZliobaiteBHP11 Indre Zliobaite,Albert Bifet,Geoff Holmes 0001,Bernhard Pfahringer MOA Concept Drift Active Learning Strategies for Streaming Data. WAPA 2011 db/journals/jmlr/jmlrp17.html#ZliobaiteBHP11 conf/wapa/2011 48-55
147 2019-05-29 journals/jmlr/HallSJ11 Benjamin X. Hall,John Shawe-Taylor,Alan Johnston Employing The Complete Face in AVSR to Recover from Facial Occlusions. WAPA 2011 db/journals/jmlr/jmlrp17.html#HallSJ11 conf/wapa/2011 33-40
148 2019-05-29 journals/jmlr/Daume07 Hal Daumé III Fast search for Dirichlet process mixture models. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Daume07 conf/aistats/2007 83-90
149 2019-05-29 journals/jmlr/CarreauB07 Julie Carreau,Yoshua Bengio A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data. AISTATS 2007 db/journals/jmlr/jmlrp2.html#CarreauB07 conf/aistats/2007 51-58
150 2019-11-15 journals/jmlr/JaakkolaSGM10 Tommi S. Jaakkola,David A. Sontag,Amir Globerson,Marina Meila Learning Bayesian Network Structure using LP Relaxations. AISTATS 2010 db/journals/jmlr/jmlrp9.html#JaakkolaSGM10 conf/aistats/2010 358-365
151 2019-05-29 journals/jmlr/RanzatoBCL07 Marc'Aurelio Ranzato,Y-Lan Boureau,Sumit Chopra,Yann LeCun A Unified Energy-Based Framework for Unsupervised Learning. AISTATS 2007 db/journals/jmlr/jmlrp2.html#RanzatoBCL07 conf/aistats/2007 371-379
152 2019-05-29 journals/jmlr/McDonaldSS11 Daniel J. McDonald,Cosma Rohilla Shalizi,Mark J. Schervish Estimating beta-mixing coefficients. AISTATS 2011 db/journals/jmlr/jmlrp15.html#McDonaldSS11 conf/aistats/2011 516-524
153 2019-05-29 journals/jmlr/GrunewalderAOS10 Steffen Grünewälder,Jean-Yves Audibert,Manfred Opper,John Shawe-Taylor Regret Bounds for Gaussian Process Bandit Problems. AISTATS 2010 db/journals/jmlr/jmlrp9.html#GrunewalderAOS10 conf/aistats/2010 273-280
154 2019-05-29 journals/jmlr/CaniniSG09 Kevin Robert Canini,Lei Shi 0009,Thomas L. Griffiths Online Inference of Topics with Latent Dirichlet Allocation. AISTATS 2009 db/journals/jmlr/jmlrp5.html#CaniniSG09 conf/aistats/2009 65-72
155 2019-05-29 journals/jmlr/VinyalsP12 Oriol Vinyals,Daniel Povey Krylov Subspace Descent for Deep Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#VinyalsP12 conf/aistats/2012 1261-1268
156 2019-05-29 journals/jmlr/GuanD09 Yue Guan,Jennifer G. Dy Sparse Probabilistic Principal Component Analysis. AISTATS 2009 db/journals/jmlr/jmlrp5.html#GuanD09 conf/aistats/2009 185-192
157 2019-05-29 journals/jmlr/Lawrence11 Neil D. Lawrence Spectral Dimensionality Reduction via Maximum Entropy. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Lawrence11 conf/aistats/2011 51-59
158 2019-05-29 journals/jmlr/GlowackaS10 Dorota Glowacka,John Shawe-Taylor Content-based Image Retrieval with Multinomial Relevance Feedback. ACML 2010 db/journals/jmlr/jmlrp13.html#GlowackaS10 conf/acml/2010 111-125
159 2019-05-29 journals/jmlr/LopezCS12 Damián López,Jorge Calera-Rubio,Antonio Javier Gallego Sánchez Inference of k-Testable Directed Acyclic Graph Languages. ICGI 2012 db/journals/jmlr/jmlrp21.html#LopezCS12 conf/icgi/2012 149-163
160 2019-05-29 journals/jmlr/ZhouS11 Xueyuan Zhou,Nathan Srebro Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZhouS11 conf/aistats/2011 901-908
161 2019-05-29 journals/jmlr/HoSX11 Qirong Ho,Le Song,Eric P. Xing Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. AISTATS 2011 db/journals/jmlr/jmlrp15.html#HoSX11 conf/aistats/2011 342-350
162 2019-05-29 journals/jmlr/XieX11 J. Xie,T. Xiong Stochastic Semi-supervised Learning. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#XieX11 conf/aistats/2010w 85-98
163 2019-05-29 journals/jmlr/HellersteinKSS12 Lisa Hellerstein,Devorah Kletenik,Linda Sellie,Rocco A. Servedio Tight Bounds on Proper Equivalence Query Learning of DNF. COLT 2012 db/journals/jmlr/jmlrp23.html#HellersteinKSS12 conf/colt/2012 31.1-31.18
164 2019-05-29 journals/jmlr/PoczosKS10 Barnabás Póczos,Sergey Kirshner,Csaba Szepesvári REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization. AISTATS 2010 db/journals/jmlr/jmlrp9.html#PoczosKS10 conf/aistats/2010 605-612
165 2019-05-29 journals/jmlr/FoygelS11 Rina Foygel,Nathan Srebro Concentration-Based Guarantees for Low-Rank Matrix Reconstruction. COLT 2011 db/journals/jmlr/jmlrp19.html#FoygelS11 conf/colt/2011 315-340
166 2019-05-29 journals/jmlr/ShahafG09 Dafna Shahaf,Carlos Guestrin Learning Thin Junction Trees via Graph Cuts. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ShahafG09 conf/aistats/2009 113-120
167 2019-05-29 journals/jmlr/YuanY11 Xiaotong Yuan,Shuicheng Yan A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems. AISTATS 2011 db/journals/jmlr/jmlrp15.html#YuanY11 conf/aistats/2011 841-854
168 2019-05-29 journals/jmlr/GuyonJS10 Isabelle Guyon,Dominik Janzing,Bernhard Schölkopf Causality: Objectives and Assessment. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#GuyonJS10 conf/nips/2008coa 1-42
169 2019-05-29 journals/jmlr/Shalev-ShwartzS07 Shai Shalev-Shwartz,Yoram Singer A Unified Algorithmic Approach for Efficient Online Label Ranking. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Shalev-ShwartzS07 conf/aistats/2007 452-459
170 2019-05-29 journals/jmlr/BartokPS11 Gábor Bartók,Dávid Pál,Csaba Szepesvári Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments. COLT 2011 db/journals/jmlr/jmlrp19.html#BartokPS11 conf/colt/2011 133-154
171 2019-05-29 journals/jmlr/ShamirS11 Ohad Shamir,Shai Shalev-Shwartz Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing. COLT 2011 db/journals/jmlr/jmlrp19.html#ShamirS11 conf/colt/2011 661-678
172 2019-05-29 journals/jmlr/GogateD07 Vibhav Gogate,Rina Dechter SampleSearch: A Scheme that Searches for Consistent Samples. AISTATS 2007 db/journals/jmlr/jmlrp2.html#GogateD07 conf/aistats/2007 147-154
173 2019-05-29 journals/jmlr/PletscherOB09 Patrick Pletscher,Cheng Soon Ong,Joachim M. Buhmann Spanning Tree Approximations for Conditional Random Fields. AISTATS 2009 db/journals/jmlr/jmlrp5.html#PletscherOB09 conf/aistats/2009 408-415
174 2019-05-29 journals/jmlr/CoronaG10 Igino Corona,Giorgio Giacinto Detection of Server-side Web Attacks. WAPA 2010 db/journals/jmlr/jmlrp11.html#CoronaG10 conf/wapa/2010 160-166
175 2019-05-29 journals/jmlr/RajkumarA12 Arun Rajkumar,Shivani Agarwal 0001 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification. AISTATS 2012 db/journals/jmlr/jmlrp22.html#RajkumarA12 conf/aistats/2012 933-941
176 2019-05-29 journals/jmlr/Unold12 Olgierd Unold Fuzzy Grammar-based Prediction of Amyloidogenic Regions. ICGI 2012 db/journals/jmlr/jmlrp21.html#Unold12 conf/icgi/2012 210-219
177 2019-05-29 journals/jmlr/ZawadzkiGP11 Erik Zawadzki,Geoffrey J. Gordon,André Platzer An Instantiation-Based Theorem Prover for First-Order Programming. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZawadzkiGP11 conf/aistats/2011 855-863
178 2019-05-29 journals/jmlr/PriceFS10 Simon Price,Peter A. Flach,Sebastian Spiegler SubSift: a novel application of the vector space model to support the academic research process. WAPA 2010 db/journals/jmlr/jmlrp11.html#PriceFS10 conf/wapa/2010 20-27
179 2019-05-29 journals/jmlr/ChanK10 Hei Chan,Manabu Kuroki Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ChanK10 conf/aistats/2010 73-80
180 2019-05-29 journals/jmlr/ItaniOSND10 Sleiman Itani,Mesrob I. Ohannessian,Karen Sachs,Garry P. Nolan,Munther A. Dahleh Recovering Cyclic Causal Structure. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#ItaniOSND10 conf/nips/2008coa 165-176
181 2019-05-29 journals/jmlr/JancsaryM11 Jeremy Jancsary,Gerald Matz Convergent Decomposition Solvers for Tree-reweighted Free Energies. AISTATS 2011 db/journals/jmlr/jmlrp15.html#JancsaryM11 conf/aistats/2011 388-398
182 2019-05-29 journals/jmlr/RudelsonZ12 Mark Rudelson,Shuheng Zhou Reconstruction from Anisotropic Random Measurements. COLT 2012 db/journals/jmlr/jmlrp23.html#RudelsonZ12 conf/colt/2012 10.1-10.24
183 2019-05-29 journals/jmlr/SeegerST07 Matthias W. Seeger,Florian Steinke,Koji Tsuda Bayesian Inference and Optimal Design in the Sparse Linear Model. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SeegerST07 conf/aistats/2007 444-451
184 2019-05-29 journals/jmlr/YuanD07 Changhe Yuan,Marek J. Druzdzel Importance Sampling for General Hybrid Bayesian Networks. AISTATS 2007 db/journals/jmlr/jmlrp2.html#YuanD07 conf/aistats/2007 652-659
185 2020-09-01 journals/jmlr/NiuDSS11 Gang Niu 0001,Bo Dai,Lin Shang,Masashi Sugiyama Maximum Volume Clustering. AISTATS 2011 db/journals/jmlr/jmlrp15.html#NiuDSS11 conf/aistats/2011 561-569
186 2019-05-29 journals/jmlr/HauptCN09 Jarvis D. Haupt,Rui M. Castro,Robert D. Nowak Distilled sensing: selective sampling for sparse signal recovery. AISTATS 2009 db/journals/jmlr/jmlrp5.html#HauptCN09 conf/aistats/2009 216-223
187 2019-05-29 journals/jmlr/LuxburgWG12 Ulrike von Luxburg,Robert C. Williamson,Isabelle Guyon Clustering: Science or Art? ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#LuxburgWG12 conf/icml/2011utl 65-80
188 2019-05-29 journals/jmlr/HazanK11a Elad Hazan,Satyen Kale Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization. COLT 2011 db/journals/jmlr/jmlrp19.html#HazanK11a conf/colt/2011 421-436
189 2019-05-29 journals/jmlr/GargK11 Rahul Garg,Rohit Khandekar Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso. AISTATS 2011 db/journals/jmlr/jmlrp15.html#GargK11 conf/aistats/2011 296-304
190 2019-05-29 journals/jmlr/Aiolli12 Fabio Aiolli Transfer Learning by Kernel Meta-Learning. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#Aiolli12 conf/icml/2011utl 81-95
191 2019-05-29 journals/jmlr/PlisMLC11 Sergey M. Plis,Stephen McCracken,Terran Lane,Vince D. Calhoun Directional Statistics on Permutations. AISTATS 2011 db/journals/jmlr/jmlrp15.html#PlisMLC11 conf/aistats/2011 600-608
192 2019-05-29 journals/jmlr/TurnerDR10 Ryan D. Turner,Marc Peter Deisenroth,Carl Edward Rasmussen State-Space Inference and Learning with Gaussian Processes. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TurnerDR10 conf/aistats/2010 868-875
193 2019-05-29 journals/jmlr/OrtizSK07 Luis E. Ortiz,Robert E. Schapire,Sham M. Kakade Maximum Entropy Correlated Equilibria. AISTATS 2007 db/journals/jmlr/jmlrp2.html#OrtizSK07 conf/aistats/2007 347-354
194 2019-05-29 journals/jmlr/Lever10 Guy Lever Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction. AISTATS 2010 db/journals/jmlr/jmlrp9.html#Lever10 conf/aistats/2010 437-444
195 2019-05-29 journals/jmlr/JayasriraniBTE12 M. Jayasrirani,M. Humrosia Begam,D. G. Thomas,J. D. Emerald Learning of Bi-ω Languages from Factors. ICGI 2012 db/journals/jmlr/jmlrp21.html#JayasriraniBTE12 conf/icgi/2012 139-144
196 2019-05-29 journals/jmlr/JenattonOB10 Rodolphe Jenatton,Guillaume Obozinski,Francis R. Bach Structured Sparse Principal Component Analysis. AISTATS 2010 db/journals/jmlr/jmlrp9.html#JenattonOB10 conf/aistats/2010 366-373
197 2019-05-29 journals/jmlr/Shin12 Jinwoo Shin Complexity of Bethe Approximation. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Shin12 conf/aistats/2012 1037-1045
198 2019-05-29 journals/jmlr/ClarkY12 Alexander Clark,Ryo Yoshinaka Beyond Semilinearity: Distributional Learning of Parallel Multiple Context-free Grammars. ICGI 2012 db/journals/jmlr/jmlrp21.html#ClarkY12 conf/icgi/2012 84-96
199 2019-05-29 journals/jmlr/FarahatGK11 Ahmed K. Farahat,Ali Ghodsi 0001,Mohamed S. Kamel A novel greedy algorithm for Nyström approximation. AISTATS 2011 db/journals/jmlr/jmlrp15.html#FarahatGK11 conf/aistats/2011 269-277
200 2019-05-29 journals/jmlr/AminKS11 Kareem Amin,Michael J. Kearns,Umar Syed Bandits, Query Learning, and the Haystack Dimension. COLT 2011 db/journals/jmlr/jmlrp19.html#AminKS11 conf/colt/2011 87-106
201 2019-05-29 journals/jmlr/LeeN07 Ann B. Lee,Boaz Nadler Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data. AISTATS 2007 db/journals/jmlr/jmlrp2.html#LeeN07 conf/aistats/2007 259-266
202 2019-05-29 journals/jmlr/KarK12 Purushottam Kar,Harish Karnick Random Feature Maps for Dot Product Kernels. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KarK12 conf/aistats/2012 583-591
203 2019-05-29 journals/jmlr/LiuLW07 Han Liu 0001,John D. Lafferty,Larry A. Wasserman Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo. AISTATS 2007 db/journals/jmlr/jmlrp2.html#LiuLW07 conf/aistats/2007 283-290
204 2019-05-29 journals/jmlr/ShivaswamyJ07 Pannagadatta K. Shivaswamy,Tony Jebara Ellipsoidal Machines. AISTATS 2007 db/journals/jmlr/jmlrp2.html#ShivaswamyJ07 conf/aistats/2007 484-491
205 2019-05-29 journals/jmlr/CookSMH07 James Cook,Ilya Sutskever,Andriy Mnih,Geoffrey E. Hinton Visualizing Similarity Data with a Mixture of Maps. AISTATS 2007 db/journals/jmlr/jmlrp2.html#CookSMH07 conf/aistats/2007 67-74
206 2019-05-29 journals/jmlr/TranDGM12 An C. Tran,Jens Dietrich 0001,Hans W. Guesgen,Stephen Marsland Two-way Parallel Class Expression Learning. ACML 2012 db/journals/jmlr/jmlrp25.html#TranDGM12 conf/acml/2012 443-458
207 2019-05-29 journals/jmlr/HondaT12 Junya Honda,Akimichi Takemura Stochastic Bandit Based on Empirical Moments. AISTATS 2012 db/journals/jmlr/jmlrp22.html#HondaT12 conf/aistats/2012 529-537
208 2019-05-29 journals/jmlr/SnoekAL12 Jasper Snoek,Ryan Prescott Adams,Hugo Larochelle On Nonparametric Guidance for Learning Autoencoder Representations. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SnoekAL12 conf/aistats/2012 1073-1080
209 2019-05-29 journals/jmlr/DinuzzoF11 Francesco Dinuzzo,Kenji Fukumizu Learning low-rank output kernels. ACML 2011 db/journals/jmlr/jmlrp20.html#DinuzzoF11 conf/acml/2011 181-196
210 2019-05-29 journals/jmlr/McMahan11a H. Brendan McMahan Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization. AISTATS 2011 db/journals/jmlr/jmlrp15.html#McMahan11a conf/aistats/2011 525-533
211 2019-05-29 journals/jmlr/ReV10 Matteo Ré,Giorgio Valentini Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction. MLSB 2010 db/journals/jmlr/jmlrp8.html#ReV10 conf/mlsb/2009 98-111
212 2019-05-29 journals/jmlr/GuyonSA11 Isabelle Guyon,Alexander R. Statnikov,Constantin F. Aliferis Time Series Analysis with the Causality Workbench. NIPS Mini-Symposium on Causality in Time Series 2011 db/journals/jmlr/jmlrp12.html#GuyonSA11 conf/nips/2009mscts 115-139
213 2019-05-29 journals/jmlr/DesjardinsCBVD10 Guillaume Desjardins,Aaron C. Courville,Yoshua Bengio,Pascal Vincent,Olivier Delalleau Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. AISTATS 2010 db/journals/jmlr/jmlrp9.html#DesjardinsCBVD10 conf/aistats/2010 145-152
214 2019-05-29 journals/jmlr/ThiessonK12 Bo Thiesson,Jingu Kim Fast Variational Mode-Seeking. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ThiessonK12 conf/aistats/2012 1230-1242
215 2019-05-29 journals/jmlr/XuL12 Huan Xu,Chenlei Leng Robust Multi-task Regression with Grossly Corrupted Observations. AISTATS 2012 db/journals/jmlr/jmlrp22.html#XuL12 conf/aistats/2012 1341-1349
216 2019-05-29 journals/jmlr/MaillardM11 Odalric-Ambrym Maillard,Rémi Munos Adaptive Bandits: Towards the best history-dependent strategy. AISTATS 2011 db/journals/jmlr/jmlrp15.html#MaillardM11 conf/aistats/2011 570-578
217 2019-05-29 journals/jmlr/TomiokaM12 Ryota Tomioka,Morten Mørup A Bayesian Analysis of the Radioactive Releases of Fukushima. AISTATS 2012 db/journals/jmlr/jmlrp22.html#TomiokaM12 conf/aistats/2012 1243-1251
218 2019-05-29 journals/jmlr/SalujaSM12 Avneesh Singh Saluja,Priya Krishnan Sundararajan,Ole J. Mengshoel Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SalujaSM12 conf/aistats/2012 984-992
219 2019-05-29 journals/jmlr/TehGG07 Yee Whye Teh,Dilan Görür,Zoubin Ghahramani Stick-breaking Construction for the Indian Buffet Process. AISTATS 2007 db/journals/jmlr/jmlrp2.html#TehGG07 conf/aistats/2007 556-563
220 2019-05-29 journals/jmlr/LiT11 Shukai Li,Ivor W. Tsang Learning to Locate Relative Outliers. ACML 2011 db/journals/jmlr/jmlrp20.html#LiT11 conf/acml/2011 47-62
221 2019-05-29 journals/jmlr/RosascoSMVV10 Lorenzo Rosasco,Matteo Santoro,Sofia Mosci,Alessandro Verri,Silvia Villa A Regularization Approach to Nonlinear Variable Selection. AISTATS 2010 db/journals/jmlr/jmlrp9.html#RosascoSMVV10 conf/aistats/2010 653-660
222 2020-12-03 journals/jmlr/HoffmanFDP09 Matthew Hoffman 0002,Nando de Freitas,Arnaud Doucet,Jan Peters 0001 An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. AISTATS 2009 db/journals/jmlr/jmlrp5.html#HoffmanFDP09 conf/aistats/2009 232-239
223 2019-05-29 journals/jmlr/Cerno12 Peter Cerno Clearing Restarting Automata and Grammatical Inference. ICGI 2012 db/journals/jmlr/jmlrp21.html#Cerno12 conf/icgi/2012 54-68
224 2019-05-29 journals/jmlr/Yang07 Yuhong Yang How Powerful Can Any Regression Learning Procedure Be?. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Yang07 conf/aistats/2007 636-643
225 2019-05-29 journals/jmlr/PaprotnyG12 Alexander Paprotny,Jochen Garcke On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap. AISTATS 2012 db/journals/jmlr/jmlrp22.html#PaprotnyG12 conf/aistats/2012 859-867
226 2019-05-29 journals/jmlr/ChangB09 Jonathan Chang,David M. Blei Relational Topic Models for Document Networks. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ChangB09 conf/aistats/2009 81-88
227 2019-05-29 journals/jmlr/Sunehag07 Peter Sunehag Emerge and spread models and word burstiness. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Sunehag07 conf/aistats/2007 540-547
228 2020-03-19 journals/jmlr/BifetFHP10 Albert Bifet,Eibe Frank,Geoffrey Holmes 0001,Bernhard Pfahringer Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. ACML 2010 db/journals/jmlr/jmlrp13.html#BifetFHP10 conf/acml/2010 225-240
229 2019-05-29 journals/jmlr/GruberWR07 Amit Gruber,Yair Weiss,Michal Rosen-Zvi Hidden Topic Markov Models. AISTATS 2007 db/journals/jmlr/jmlrp2.html#GruberWR07 conf/aistats/2007 163-170
230 2019-05-29 journals/jmlr/Maaten11 Laurens van der Maaten Discussion of "Spectral Dimensionality Reduction via Maximum Entropy". AISTATS 2011 db/journals/jmlr/jmlrp15.html#Maaten11 conf/aistats/2011 60-62
231 2019-05-29 journals/jmlr/HoTL11 C.-H. Ho,M.-H. Tsai,C.-J. Lin Active Learning and Experimental Design with SVMs. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#HoTL11 conf/aistats/2010w 71-84
232 2019-05-29 journals/jmlr/NohZL10 Yung-Kyun Noh,Byoung-Tak Zhang,Daniel D. Lee Fluid Dynamics Models for Low Rank Discriminant Analysis. AISTATS 2010 db/journals/jmlr/jmlrp9.html#NohZL10 conf/aistats/2010 565-572
233 2019-05-29 journals/jmlr/Vovk12 Vladimir Vovk Conditional validity of inductive conformal predictors. ACML 2012 db/journals/jmlr/jmlrp25.html#Vovk12 conf/acml/2012 475-490
234 2019-05-29 journals/jmlr/DhillonKBCS12 Paramveer S. Dhillon,S. Sathiya Keerthi,Kedar Bellare,Olivier Chapelle,Sundararajan Sellamanickam Deterministic Annealing for Semi-Supervised Structured Output Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DhillonKBCS12 conf/aistats/2012 299-307
235 2019-05-29 journals/jmlr/RechtR12 Benjamin Recht,Christopher Ré Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences. COLT 2012 db/journals/jmlr/jmlrp23.html#RechtR12 conf/colt/2012 11.1-11.24
236 2019-05-29 journals/jmlr/ZhangDWJ10 Zhihua Zhang,Guang Dai,Donghui Wang,Michael I. Jordan Bayesian Generalized Kernel Models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ZhangDWJ10 conf/aistats/2010 972-979
237 2019-05-29 journals/jmlr/LiTKZ09 Yu-Feng Li,Ivor W. Tsang,James Tin-Yau Kwok,Zhi-Hua Zhou Tighter and Convex Maximum Margin Clustering. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LiTKZ09 conf/aistats/2009 344-351
238 2020-10-12 journals/jmlr/SuttonJ10 Charles Sutton,Michael I. Jordan Inference and Learning in Networks of Queues. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SuttonJ10 conf/aistats/2010 796-803
239 2019-05-29 journals/jmlr/Romera-ParedesABP12 Bernardino Romera-Paredes,Andreas Argyriou,Nadia Berthouze,Massimiliano Pontil Exploiting Unrelated Tasks in Multi-Task Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Romera-ParedesABP12 conf/aistats/2012 951-959
240 2020-06-22 journals/jmlr/RoebroeckSV11 Alard Roebroeck,Anil K. Seth,Pedro A. Valdés-Sosa Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data. NIPS Mini-Symposium on Causality in Time Series 2011 db/journals/jmlr/jmlrp12.html#RoebroeckSV11 conf/nips/2009mscts 65-94
241 2019-05-29 journals/jmlr/RamonC12 Jan Ramon,Constantin Comendant Open Problem: Learning Dynamic Network Models from a Static Snapshot. COLT 2012 db/journals/jmlr/jmlrp23.html#RamonC12 conf/colt/2012 45.1-45.3
242 2019-05-29 journals/jmlr/HongG11 Sue Ann Hong,Geoffrey J. Gordon Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources. AISTATS 2011 db/journals/jmlr/jmlrp15.html#HongG11 conf/aistats/2011 351-360
243 2019-05-29 journals/jmlr/VuG10 Hoang Vu Nguyen,Vivekanand Gopalkrishnan Feature Extraction for Outlier Detection in High-Dimensional Spaces. FSDM 2010 db/journals/jmlr/jmlrp10.html#VuG10 conf/pakdd/2010fsdm 66-75
244 2019-05-29 journals/jmlr/KramerSB09 Nicole Krämer 0002,Masashi Sugiyama,Mikio L. Braun Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression. AISTATS 2009 db/journals/jmlr/jmlrp5.html#KramerSB09 conf/aistats/2009 288-295
245 2019-05-29 journals/jmlr/SuzukiS10 Taiji Suzuki,Masashi Sugiyama Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SuzukiS10 conf/aistats/2010 804-811
246 2019-05-29 journals/jmlr/BusettoB09 Alberto Giovanni Busetto,Joachim M. Buhmann Structure Identification by Optimized Interventions. AISTATS 2009 db/journals/jmlr/jmlrp5.html#BusettoB09 conf/aistats/2009 57-64
247 2019-05-29 journals/jmlr/Slivkins11 Aleksandrs Slivkins Contextual Bandits with Similarity Information. COLT 2011 db/journals/jmlr/jmlrp19.html#Slivkins11 conf/colt/2011 679-702
248 2019-05-29 journals/jmlr/DoKWW12 Huyen Do,Alexandros Kalousis,Jun Wang 0017,Adam Woznica A metric learning perspective of SVM: on the relation of LMNN and SVM. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DoKWW12 conf/aistats/2012 308-317
249 2019-05-29 journals/jmlr/WangYL07 Gang Wang 0004,Dit-Yan Yeung,Frederick H. Lochovsky The Kernel Path in Kernelized LASSO. AISTATS 2007 db/journals/jmlr/jmlrp2.html#WangYL07 conf/aistats/2007 580-587
250 2019-05-29 journals/jmlr/SteinhardtG12 Jacob Steinhardt,Zoubin Ghahramani Flexible Martingale Priors for Deep Hierarchies. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SteinhardtG12 conf/aistats/2012 1108-1116
251 2019-05-29 journals/jmlr/KimP10 Jingu Kim,Haesun Park Fast Active-set-type Algorithms for L1-regularized Linear Regression. AISTATS 2010 db/journals/jmlr/jmlrp9.html#KimP10 conf/aistats/2010 397-404
252 2019-05-29 journals/jmlr/TitovKSR10 Ivan Titov,Alexandre Klementiev,Kevin Small,Dan Roth Unsupervised Aggregation for Classification Problems with Large Numbers of Categories. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TitovKSR10 conf/aistats/2010 836-843
253 2019-05-29 journals/jmlr/SinnP11 Mathieu Sinn,Pascal Poupart Asymptotic Theory for Linear-Chain Conditional Random Fields. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SinnP11 conf/aistats/2011 679-687
254 2019-05-29 journals/jmlr/XiangN11 Rongjing Xiang,Jennifer Neville Relational Learning with One Network: An Asymptotic Analysis. AISTATS 2011 db/journals/jmlr/jmlrp15.html#XiangN11 conf/aistats/2011 779-788
255 2019-05-29 journals/jmlr/SuzukiSSK08 Taiji Suzuki,Masashi Sugiyama,Jun Sese,Takafumi Kanamori Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation. FSDM 2008 db/journals/jmlr/jmlrp4.html#SuzukiSSK08 conf/pkdd/2008fsdm 5-20
256 2019-05-29 journals/jmlr/FerngL11 Chun-Sung Ferng,Hsuan-Tien Lin Multi-label Classification with Error-correcting Codes. ACML 2011 db/journals/jmlr/jmlrp20.html#FerngL11 conf/acml/2011 281-295
257 2020-08-13 journals/jmlr/ChapelleCL11 Olivier Chapelle,Yi Chang 0001,Tie-Yan Liu Future directions in learning to rank. Yahoo! Learning to Rank Challenge 2011 db/journals/jmlr/jmlrp14.html#ChapelleCL11 conf/icml/2010ltr 91-100
258 2019-05-29 journals/jmlr/ZhangJLY09 Zhihua Zhang,Michael I. Jordan,Wu-Jun Li,Dit-Yan Yeung Coherence Functions for Multicategory Margin-based Classification Methods. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ZhangJLY09 conf/aistats/2009 647-654
259 2019-05-29 journals/jmlr/ErhanCBV10 Dumitru Erhan,Aaron C. Courville,Yoshua Bengio,Pascal Vincent Why Does Unsupervised Pre-training Help Deep Learning? AISTATS 2010 db/journals/jmlr/jmlrp9.html#ErhanCBV10 conf/aistats/2010 201-208
260 2019-05-29 journals/jmlr/Busa-FeketeK09 Róbert Busa-Fekete,Balázs Kégl Accelerating AdaBoost using UCB. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#Busa-FeketeK09 conf/kdd/2009kddcup 111-122
261 2019-05-29 journals/jmlr/BianXT12 Wei Bian,Bo Xie 0002,Dacheng Tao CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BianXT12 conf/aistats/2012 109-117
262 2019-05-29 journals/jmlr/ManiAS10 Subramani Mani,Constantin F. Aliferis,Alexander R. Statnikov Bayesian Algorithms for Causal Data Mining. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#ManiAS10 conf/nips/2008coa 121-136
263 2019-05-29 journals/jmlr/HardoonSAPK07 David R. Hardoon,John Shawe-Taylor,Antti Ajanki,Kai Puolamäki,Samuel Kaski Information Retrieval by Inferring Implicit Queries from Eye Movements. AISTATS 2007 db/journals/jmlr/jmlrp2.html#HardoonSAPK07 conf/aistats/2007 179-186
264 2019-05-29 journals/jmlr/LarochelleM11 Hugo Larochelle,Iain Murray 0001 The Neural Autoregressive Distribution Estimator. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LarochelleM11 conf/aistats/2011 29-37
265 2013-12-04 journals/jmlr/KakadeL11 Sham M. Kakade,Ulrike von Luxburg Preface. COLT 2011 db/journals/jmlr/jmlrp19.html#KakadeL11 conf/colt/2011
266 2019-05-29 journals/jmlr/Becerra-BonacheFHPS12 Leonor Becerra-Bonache,Élisa Fromont,Amaury Habrard,Michaël Perrot,Marc Sebban Speeding Up Syntactic Learning Using Contextual Information. ICGI 2012 db/journals/jmlr/jmlrp21.html#Becerra-BonacheFHPS12 conf/icgi/2012 49-53
267 2019-05-29 journals/jmlr/ZhangJ09 Zhihua Zhang,Michael I. Jordan Latent Variable Models for Dimensionality Reduction. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ZhangJ09 conf/aistats/2009 655-662
268 2019-05-29 journals/jmlr/OuZ12 Zhijian Ou,Yang Zhang Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis. AISTATS 2012 db/journals/jmlr/jmlrp22.html#OuZ12 conf/aistats/2012 841-849
269 2019-05-29 journals/jmlr/Gerchinovitz11 Sébastien Gerchinovitz Sparsity Regret Bounds for Individual Sequences in Online Linear Regression. COLT 2011 db/journals/jmlr/jmlrp19.html#Gerchinovitz11 conf/colt/2011 377-396
270 2019-05-29 journals/jmlr/SlavkovZD10 Ivica Slavkov,Bernard Zenko,Saso Dzeroski Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery. MLSB 2010 db/journals/jmlr/jmlrp8.html#SlavkovZD10 conf/mlsb/2009 122-135
271 2019-05-29 journals/jmlr/NingK10 Xia Ning,George Karypis Multi-task Learning for Recommender System. ACML 2010 db/journals/jmlr/jmlrp13.html#NingK10 conf/acml/2010 269-284
272 2019-05-29 journals/jmlr/BalcanBFM12 Maria-Florina Balcan,Avrim Blum,Shai Fine,Yishay Mansour Distributed Learning, Communication Complexity and Privacy. COLT 2012 db/journals/jmlr/jmlrp23.html#BalcanBFM12 conf/colt/2012 26.1-26.22
273 2019-05-29 journals/jmlr/FromontLLR12 Magalie Fromont,Béatrice Laurent,Matthieu Lerasle,Patricia Reynaud-Bouret Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems. COLT 2012 db/journals/jmlr/jmlrp23.html#FromontLLR12 conf/colt/2012 23.1-23.23
274 2019-05-29 journals/jmlr/PoczosS12 Barnabás Póczos,Jeff G. Schneider Nonparametric Estimation of Conditional Information and Divergences. AISTATS 2012 db/journals/jmlr/jmlrp22.html#PoczosS12 conf/aistats/2012 914-923
275 2019-05-29 journals/jmlr/RudinSD12 Cynthia Rudin,Robert E. Schapire,Ingrid Daubechies Open Problem: Does AdaBoost Always Cycle? COLT 2012 db/journals/jmlr/jmlrp23.html#RudinSD12 conf/colt/2012 46.1-46.4
276 2019-07-22 journals/jmlr/KondorHJ07 Risi Kondor,Andrew G. Howard,Tony Jebara Multi-object tracking with representations of the symmetric group. AISTATS 2007 db/journals/jmlr/jmlrp2.html#KondorHJ07 conf/aistats/2007 211-218
277 2019-05-29 journals/jmlr/BrownT08 Laura E. Brown,Ioannis Tsamardinos A Strategy for Making Predictions Under Manipulation. WCCI Causation and Prediction Challenge 2008 db/journals/jmlr/jmlrp3.html#BrownT08 conf/wcci/2008cpc 35-52
278 2019-05-29 journals/jmlr/CommingesD11 Laëtitia Comminges,Arnak S. Dalalyan Tight conditions for consistent variable selection in high dimensional nonparametric regression. COLT 2011 db/journals/jmlr/jmlrp19.html#CommingesD11 conf/colt/2011 187-206
279 2019-05-29 journals/jmlr/SutskeverT10 Ilya Sutskever,Tijmen Tieleman On the Convergence Properties of Contrastive Divergence. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SutskeverT10 conf/aistats/2010 789-795
280 2019-05-29 journals/jmlr/SiddiqiBG10 Sajid M. Siddiqi,Byron Boots,Geoffrey J. Gordon Reduced-Rank Hidden Markov Models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SiddiqiBG10 conf/aistats/2010 741-748
281 2019-05-29 journals/jmlr/TranPV12 Truyen Tran 0001,Dinh Q. Phung,Svetha Venkatesh Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. ACML 2012 db/journals/jmlr/jmlrp25.html#TranPV12 conf/acml/2012 411-426
282 2019-05-29 journals/jmlr/RaikoVL12 Tapani Raiko,Harri Valpola,Yann LeCun Deep Learning Made Easier by Linear Transformations in Perceptrons. AISTATS 2012 db/journals/jmlr/jmlrp22.html#RaikoVL12 conf/aistats/2012 924-932
283 2019-05-29 journals/jmlr/UrnerBS12 Ruth Urner,Shai Ben-David,Ohad Shamir Learning from Weak Teachers. AISTATS 2012 db/journals/jmlr/jmlrp22.html#UrnerBS12 conf/aistats/2012 1252-1260
284 2019-05-29 journals/jmlr/GuoD10 Hui Guo,A. Philip Dawid Sufficient covariates and linear propensity analysis. AISTATS 2010 db/journals/jmlr/jmlrp9.html#GuoD10 conf/aistats/2010 281-288
285 2019-05-29 journals/jmlr/HonorioSRC12 Jean Honorio,Dimitris Samaras,Irina Rish,Guillermo A. Cecchi Variable Selection for Gaussian Graphical Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#HonorioSRC12 conf/aistats/2012 538-546
286 2019-05-29 journals/jmlr/ZhouPMT12 Joey Tianyi Zhou,Sinno Jialin Pan,Qi Mao,Ivor W. Tsang Multi-view Positive and Unlabeled Learning. ACML 2012 db/journals/jmlr/jmlrp25.html#ZhouPMT12 conf/acml/2012 555-570
287 2019-05-29 journals/jmlr/HancockM10 Timothy Hancock,Hiroshi Mamitsuka Boosted Optimization for Network Classification. AISTATS 2010 db/journals/jmlr/jmlrp9.html#HancockM10 conf/aistats/2010 305-312
288 2019-05-29 journals/jmlr/HsuKZ12 Daniel J. Hsu,Sham M. Kakade,Tong Zhang 0001 Random Design Analysis of Ridge Regression. COLT 2012 db/journals/jmlr/jmlrp23.html#HsuKZ12 conf/colt/2012 9.1-9.24
289 2019-07-25 journals/jmlr/HuangJ11 Bert Huang,Tony Jebara Fast b-matching via Sufficient Selection Belief Propagation. AISTATS 2011 db/journals/jmlr/jmlrp15.html#HuangJ11 conf/aistats/2011 361-369
290 2019-05-29 journals/jmlr/ZhangS11a Yi Zhang 0010,Jeff G. Schneider Multi-Label Output Codes using Canonical Correlation Analysis. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZhangS11a conf/aistats/2011 873-882
291 2019-05-29 journals/jmlr/Winn12 John M. Winn Causality with Gates. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Winn12 conf/aistats/2012 1314-1322
292 2019-05-29 journals/jmlr/BalakrishnanS12 Guha Balakrishnan,Zeeshan Syed Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. AISTATS 2012 conf/aistats/2012 73-81
293 2019-05-29 journals/jmlr/ParviainenK10 Pekka Parviainen,Mikko Koivisto Bayesian structure discovery in Bayesian networks with less space. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ParviainenK10 conf/aistats/2010 589-596
294 2019-05-29 journals/jmlr/LeordeanuS12 Marius Leordeanu,Cristian Sminchisescu Efficient Hypergraph Clustering. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LeordeanuS12 conf/aistats/2012 676-684
295 2019-05-29 journals/jmlr/MladenovAK12 Martin Mladenov,Babak Ahmadi,Kristian Kersting Lifted Linear Programming. AISTATS 2012 db/journals/jmlr/jmlrp22.html#MladenovAK12 conf/aistats/2012 788-797
296 2019-05-29 journals/jmlr/GogateD10 Vibhav Gogate,Rina Dechter On Combining Graph-based Variance Reduction schemes. AISTATS 2010 db/journals/jmlr/jmlrp9.html#GogateD10 conf/aistats/2010 257-264
297 2019-05-29 journals/jmlr/KiritchenkoJ08 Svetlana Kiritchenko,Mikhail Jiline Keyword Optimization in Sponsored Search via Feature Selection. FSDM 2008 db/journals/jmlr/jmlrp4.html#KiritchenkoJ08 conf/pkdd/2008fsdm 122-134
298 2019-05-29 journals/jmlr/Feldman11 Vitaly Feldman Distribution-Independent Evolvability of Linear Threshold Functions. COLT 2011 db/journals/jmlr/jmlrp19.html#Feldman11 conf/colt/2011 253-272
299 2019-05-29 journals/jmlr/SocherMM11 Richard Socher,Andrew L. Maas,Christopher D. Manning Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SocherMM11 conf/aistats/2011 698-706
300 2019-07-01 journals/jmlr/WangLGR07 Ping Wang 0012,Dongryeol Lee,Alexander G. Gray,James M. Rehg Fast Mean Shift with Accurate and Stable Convergence. AISTATS 2007 db/journals/jmlr/jmlrp2.html#WangLGR07 conf/aistats/2007 604-611
301 2019-05-29 journals/jmlr/Busa-FeketeKES11 Róbert Busa-Fekete,Balázs Kégl,Tamás Éltetö,György Szarvas Ranking by calibrated AdaBoost. Yahoo! Learning to Rank Challenge 2011 db/journals/jmlr/jmlrp14.html#Busa-FeketeKES11 conf/icml/2010ltr 37-48
302 2019-05-29 journals/jmlr/JojicSK11 Vladimir Jojic,Suchi Saria,Daphne Koller Convex envelopes of complexity controlling penalties: the case against premature envelopment. AISTATS 2011 db/journals/jmlr/jmlrp15.html#JojicSK11 conf/aistats/2011 399-406
303 2019-05-29 journals/jmlr/KongTK12 Joseph S. Kong,Kyle Teague,Justin Kessler The Love-Hate Square Counting Method for Recommender Systems. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#KongTK12 conf/kdd/2011kddcup 249-261
304 2019-05-29 journals/jmlr/0002J11 Vassilios Stathopoulos 0002,Joemon M. Jose Bayesian Probabilistic Models for Image Retrieval. WAPA 2011 db/journals/jmlr/jmlrp17.html#0002J11 conf/wapa/2011 41-47
305 2019-05-29 journals/jmlr/SmithWP12 Carl Smith,Frank D. Wood,Liam Paninski Low rank continuous-space graphical models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SmithWP12 conf/aistats/2012 1064-1072
306 2019-05-29 journals/jmlr/SilvaG09a Ricardo Bezerra de Andrade e Silva,Robert B. Gramacy MCMC Methods for Bayesian Mixtures of Copulas. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SilvaG09a conf/aistats/2009 512-519
307 2019-05-29 journals/jmlr/SahaRDV11 Avishek Saha,Piyush Rai,Hal Daumé III,Suresh Venkatasubramanian Online Learning of Multiple Tasks and Their Relationships. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SahaRDV11 conf/aistats/2011 643-651
308 2019-05-29 journals/jmlr/FonteneauMWE10 Raphael Fonteneau,Susan A. Murphy,Louis Wehenkel,Damien Ernst Model-Free Monte Carlo-like Policy Evaluation. AISTATS 2010 db/journals/jmlr/jmlrp9.html#FonteneauMWE10 conf/aistats/2010 217-224
309 2019-05-29 journals/jmlr/UlkerGC10 Yener Ülker,Bilge Günsel,Ali Taylan Cemgil Sequential Monte Carlo Samplers for Dirichlet Process Mixtures. AISTATS 2010 db/journals/jmlr/jmlrp9.html#UlkerGC10 conf/aistats/2010 876-883
310 2019-05-29 journals/jmlr/MarlinSCF10 Benjamin M. Marlin,Kevin Swersky,Bo Chen,Nando de Freitas Inductive Principles for Restricted Boltzmann Machine Learning. AISTATS 2010 db/journals/jmlr/jmlrp9.html#MarlinSCF10 conf/aistats/2010 509-516
311 2019-05-29 journals/jmlr/Maaten09 Laurens van der Maaten Learning a Parametric Embedding by Preserving Local Structure. AISTATS 2009 db/journals/jmlr/jmlrp5.html#Maaten09 conf/aistats/2009 384-391
312 2019-05-29 journals/jmlr/OsborneGRHAG12 Michael A. Osborne,Roman Garnett,Stephen J. Roberts,Christopher Hart,Suzanne Aigrain,Neale Gibson Bayesian Quadrature for Ratios. AISTATS 2012 db/journals/jmlr/jmlrp22.html#OsborneGRHAG12 conf/aistats/2012 832-840
313 2019-04-09 journals/jmlr/Grunwald12 Peter Grünwald Commentary on "The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators". COLT 2012 db/journals/jmlr/jmlrp23.html#Grunwald12 conf/colt/2012 7.14-7.17
314 2019-05-29 journals/jmlr/FujimakiM12 Ryohei Fujimaki,Satoshi Morinaga Factorized Asymptotic Bayesian Inference for Mixture Modeling. AISTATS 2012 db/journals/jmlr/jmlrp22.html#FujimakiM12 conf/aistats/2012 400-408
315 2019-05-29 journals/jmlr/GiesenJL12 Joachim Giesen,Martin Jaggi,Sören Laue Regularization Paths with Guarantees for Convex Semidefinite Optimization. AISTATS 2012 db/journals/jmlr/jmlrp22.html#GiesenJL12 conf/aistats/2012 432-439
316 2019-05-29 journals/jmlr/HajimirsadeghiAAAM10 Hossein Hajimirsadeghi,Majid Nili Ahmadabadi,Mostafa Ajallooeian,Babak Nadjar Araabi,Hadi Moradi Conceptual Imitation Learning: An Application to Human-robot Interaction. ACML 2010 db/journals/jmlr/jmlrp13.html#HajimirsadeghiAAAM10 conf/acml/2010 331-346
317 2019-05-29 journals/jmlr/DaumePSV12 Hal Daumé III,Jeff M. Phillips,Avishek Saha,Suresh Venkatasubramanian Protocols for Learning Classifiers on Distributed Data. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DaumePSV12 conf/aistats/2012 282-290
318 2019-05-29 journals/jmlr/AhmedX07 Amr Ahmed,Eric P. Xing Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model. AISTATS 2007 db/journals/jmlr/jmlrp2.html#AhmedX07 conf/aistats/2007 19-26
319 2019-05-29 journals/jmlr/TehT10 Yee Whye Teh,D. Mike Titterington Preface. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TehT10 conf/aistats/2010
320 2019-05-29 journals/jmlr/McMahanG07 H. Brendan McMahan,Geoffrey J. Gordon A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games. AISTATS 2007 db/journals/jmlr/jmlrp2.html#McMahanG07 conf/aistats/2007 323-330
321 2019-05-29 journals/jmlr/AudibertBL11 Jean-Yves Audibert,Sébastien Bubeck,Gábor Lugosi Minimax Policies for Combinatorial Prediction Games. COLT 2011 db/journals/jmlr/jmlrp19.html#AudibertBL11 conf/colt/2011 107-132
322 2019-05-29 journals/jmlr/AberdeenBT07 Douglas Aberdeen,Olivier Buffet,Owen Thomas Policy-Gradients for PSRs and POMDPs. AISTATS 2007 db/journals/jmlr/jmlrp2.html#AberdeenBT07 conf/aistats/2007 3-10
323 2019-05-29 journals/jmlr/XieSZ10 Jierui Xie,Boleslaw K. Szymanski,Mohammed J. Zaki Learning Dissimilarities for Categorical Symbols. FSDM 2010 db/journals/jmlr/jmlrp10.html#XieSZ10 conf/pakdd/2010fsdm 97-106
324 2019-05-29 journals/jmlr/SarkkaH12 Simo Särkkä,Jouni Hartikainen Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SarkkaH12 conf/aistats/2012 993-1001
325 2019-05-29 journals/jmlr/SarkarSG07 Purnamrita Sarkar,Sajid M. Siddiqi,Geoffrey J. Gordon A Latent Space Approach to Dynamic Embedding of Co-occurrence Data. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SarkarSG07 conf/aistats/2007 420-427
326 2019-05-29 journals/jmlr/Michael11 Loizos Michael Missing Information Impediments to Learnability. COLT 2011 db/journals/jmlr/jmlrp19.html#Michael11 conf/colt/2011 825-828
327 2020-09-02 journals/jmlr/GuyonLBDV09 Isabelle Guyon,Vincent Lemaire 0001,Marc Boullé,Gideon Dror,David Vogel Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#GuyonLBDV09 conf/kdd/2009kddcup 1-22
328 2019-05-29 journals/jmlr/OhannessianD12 Mesrob I. Ohannessian,Munther A. Dahleh Rare Probability Estimation under Regularly Varying Heavy Tails. COLT 2012 db/journals/jmlr/jmlrp23.html#OhannessianD12 conf/colt/2012 21.1-21.24
329 2019-05-29 journals/jmlr/LawrenceG12 Neil D. Lawrence,Mark A. Girolami Preface. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LawrenceG12 conf/aistats/2012
330 2019-05-29 journals/jmlr/SabatoST10 Sivan Sabato,Nathan Srebro,Naftali Tishby Reducing Label Complexity by Learning From Bags. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SabatoST10 conf/aistats/2010 685-692
331 2019-05-29 journals/jmlr/GuG12 Suicheng Gu,Yuhong Guo Max-Margin Ratio Machine. ACML 2012 db/journals/jmlr/jmlrp25.html#GuG12 conf/acml/2012 145-157
332 2019-05-29 journals/jmlr/TitsiasL10 Michalis K. Titsias,Neil D. Lawrence Bayesian Gaussian Process Latent Variable Model. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TitsiasL10 conf/aistats/2010 844-851
333 2019-05-29 journals/jmlr/ChinS12 Si-Chi Chin,W. Nick Street Divide and Transfer: an Exploration of Segmented Transfer to Detect Wikipedia Vandalism. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#ChinS12 conf/icml/2011utl 133-144
334 2019-05-29 journals/jmlr/Pena07 José M. Peña 0001 Approximate Counting of Graphical Models Via MCMC. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Pena07 conf/aistats/2007 355-362
335 2019-05-29 journals/jmlr/DietheBST11 Tom Diethe,José L. Balcázar,John Shawe-Taylor,Cristina Tîrnauca Preface. WAPA 2011 db/journals/jmlr/jmlrp17.html#DietheBST11 conf/wapa/2011 1-4
336 2019-05-29 journals/jmlr/LovellJGZ11 Chris Lovell,Gareth L. Jones 0001,Steve R. Gunn,Klaus-Peter Zauner Autonomous Experimentation. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#LovellJGZ11 conf/aistats/2010w 141-155
337 2019-05-29 journals/jmlr/MaoJ12 Hua Mao,Manfred Jaeger Learning and Model-Checking Networks of I/O Automata. ACML 2012 db/journals/jmlr/jmlrp25.html#MaoJ12 conf/acml/2012 285-300
338 2019-05-29 journals/jmlr/CrammerMP09 Koby Crammer,Mehryar Mohri,Fernando Pereira Gaussian Margin Machines. AISTATS 2009 db/journals/jmlr/jmlrp5.html#CrammerMP09 conf/aistats/2009 105-112
339 2019-05-29 journals/jmlr/KadriDPCD10 Hachem Kadri,Emmanuel Duflos,Philippe Preux,Stéphane Canu,Manuel Davy Nonlinear functional regression: a functional RKHS approach. AISTATS 2010 db/journals/jmlr/jmlrp9.html#KadriDPCD10 conf/aistats/2010 374-380
340 2019-05-29 journals/jmlr/Ben-DavidLLP10 Shai Ben-David,Tyler Lu,Teresa Luu,Dávid Pál Impossibility Theorems for Domain Adaptation. AISTATS 2010 db/journals/jmlr/jmlrp9.html#Ben-DavidLLP10 conf/aistats/2010 129-136
341 2019-05-29 journals/jmlr/WangYZZ09 Changhu Wang,Shuicheng Yan,Lei Zhang 0001,HongJiang Zhang Non-Negative Semi-Supervised Learning. AISTATS 2009 db/journals/jmlr/jmlrp5.html#WangYZZ09 conf/aistats/2009 575-582
342 2019-05-29 journals/jmlr/BardenetCFK12 Rémi Bardenet,Olivier Cappé,Gersende Fort,Balázs Kégl Adaptive Metropolis with Online Relabeling. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BardenetCFK12 conf/aistats/2012 91-99
343 2020-11-30 journals/jmlr/Carmona-CejudoBBGB11 José M. Carmona-Cejudo,Manuel Baena-García,Rafael Morales Bueno,João Gama 0001,Albert Bifet Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification. WAPA 2011 db/journals/jmlr/jmlrp17.html#Carmona-CejudoBBGB11 conf/wapa/2011 12-18
344 2019-05-29 journals/jmlr/Elidan12 Gal Elidan Copula Network Classifiers (CNCs). AISTATS 2012 db/journals/jmlr/jmlrp22.html#Elidan12 conf/aistats/2012 346-354
345 2019-05-29 journals/jmlr/RossB10 Stéphane Ross,Drew Bagnell Efficient Reductions for Imitation Learning. AISTATS 2010 db/journals/jmlr/jmlrp9.html#RossB10 conf/aistats/2010 661-668
346 2019-05-29 journals/jmlr/McKenzieFCLTWCLLYLWNSKTCCCCWWLLL12 Todd G. McKenzie,Chun-Sung Ferng,Yao-Nan Chen,Chun-Liang Li,Cheng-Hao Tsai,Kuan-Wei Wu,Ya-Hsuan Chang,Chung-Yi Li,Wei-Shih Lin,Shu-Hao Yu,Chieh-Yen Lin,Po-Wei Wang,Chia-Mau Ni,Wei-Lun Su,Tsung-Ting Kuo,Chen-Tse Tsai,Po-Lung Chen,Rong-Bing Chiu,Ku-Chun Chou,Yu-Cheng Chou,Chien-Chih Wang,Chen-Hung Wu,Hsuan-Tien Lin,Chih-Jen Lin,Shou-De Lin Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#McKenzieFCLTWCLLYLWNSKTCCCCWWLLL12 conf/kdd/2011kddcup 101-135
347 2019-05-29 journals/jmlr/AgarwalDKLS12 Alekh Agarwal,Miroslav Dudík,Satyen Kale,John Langford 0001,Robert E. Schapire Contextual Bandit Learning with Predictable Rewards. AISTATS 2012 db/journals/jmlr/jmlrp22.html#AgarwalDKLS12 conf/aistats/2012 19-26
348 2019-05-29 journals/jmlr/RaykarDK07 Vikas C. Raykar,Ramani Duraiswami,Balaji Krishnapuram A fast algorithm for learning large scale preference relations. AISTATS 2007 db/journals/jmlr/jmlrp2.html#RaykarDK07 conf/aistats/2007 388-395
349 2019-05-29 journals/jmlr/ErvenRW11 Tim van Erven,Mark D. Reid,Robert C. Williamson Mixability is Bayes Risk Curvature Relative to Log Loss. COLT 2011 db/journals/jmlr/jmlrp19.html#ErvenRW11 conf/colt/2011 233-252
350 2019-05-29 journals/jmlr/GorurBW12 Dilan Görür,Levi Boyles,Max Welling Scalable Inference on Kingman's Coalescent using Pair Similarity . AISTATS 2012 db/journals/jmlr/jmlrp22.html#GorurBW12 conf/aistats/2012 440-448
351 2019-05-29 journals/jmlr/LiuXY12 Guangcan Liu,Huan Xu,Shuicheng Yan Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LiuXY12 conf/aistats/2012 703-711
352 2019-05-29 journals/jmlr/ZhangGH10 Xinhua Zhang,Thore Graepel,Ralf Herbrich Bayesian Online Learning for Multi-label and Multi-variate Performance Measures. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ZhangGH10 conf/aistats/2010 956-963
353 2019-05-29 journals/jmlr/Esseghir10 Mohamed Amir Esseghir Effective Wrapper-Filter hybridization through GRASP Schemata. FSDM 2010 db/journals/jmlr/jmlrp10.html#Esseghir10 conf/pakdd/2010fsdm 45-54
354 2019-05-29 journals/jmlr/LozanoSA11 Aurelie C. Lozano,Grzegorz Swirszcz,Naoki Abe Group Orthogonal Matching Pursuit for Logistic Regression. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LozanoSA11 conf/aistats/2011 452-460
355 2019-05-29 journals/jmlr/BattiatoFGPAC10 Sebastiano Battiato,Giovanni Maria Farinella,Giuseppe Claudio Guarnera,Giovanni Puglisi,Giuseppe Azzaro,Margherita Caccamo Assessment of Cow's Body Condition Score Through Statistical Shape Analysis and Regression Machines. WAPA 2010 db/journals/jmlr/jmlrp11.html#BattiatoFGPAC10 conf/wapa/2010 66-73
356 2019-05-29 journals/jmlr/KropotovVWH10 Dmitry Kropotov,Dmitry P. Vetrov,Lior Wolf,Tal Hassner Variational Relevance Vector Machine for Tabular Data. ACML 2010 db/journals/jmlr/jmlrp13.html#KropotovVWH10 conf/acml/2010 79-94
357 2019-05-29 journals/jmlr/SteckJ07 Harald Steck,Tommi S. Jaakkola Predictive Discretization during Model Selection. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SteckJ07 conf/aistats/2007 532-539
358 2019-05-29 journals/jmlr/TomanekM11 Katrin Tomanek,Katharina Morik Inspecting Sample Reusability for Active Learning. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#TomanekM11 conf/aistats/2010w 169-181
359 2019-05-29 journals/jmlr/BlanchardK10 Gilles Blanchard,Nicole Krämer 0002 Kernel Partial Least Squares is Universally Consistent. AISTATS 2010 db/journals/jmlr/jmlrp9.html#BlanchardK10 conf/aistats/2010 57-64
360 2019-05-29 journals/jmlr/RozzaLRC10 Alessandro Rozza,Gabriele Lombardi,Marco Rosa,Elena Casiraghi O-IPCAC and its Application to EEG Classification. WAPA 2010 db/journals/jmlr/jmlrp11.html#RozzaLRC10 conf/wapa/2010 4-11
361 2019-05-29 journals/jmlr/IhlerM09 Alexander T. Ihler,David A. McAllester Particle Belief Propagation. AISTATS 2009 db/journals/jmlr/jmlrp5.html#IhlerM09 conf/aistats/2009 256-263
362 2019-05-29 journals/jmlr/RogersG07 Simon Rogers,Mark A. Girolami Multi-class Semi-supervised Learning with the e-truncated Multinomial Probit Gaussian Process. Gaussian Processes in Practice 2007 db/journals/jmlr/jmlrp1.html#RogersG07 journals/jmlr/2006gpp 17-32
363 2019-05-29 journals/jmlr/FosterR12 Dean P. Foster,Alexander Rakhlin No Internal Regret via Neighborhood Watch. AISTATS 2012 db/journals/jmlr/jmlrp22.html#FosterR12 conf/aistats/2012 382-390
364 2019-05-29 journals/jmlr/RanzatoKH10 Marc'Aurelio Ranzato,Alex Krizhevsky,Geoffrey E. Hinton Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images. AISTATS 2010 db/journals/jmlr/jmlrp9.html#RanzatoKH10 conf/aistats/2010 621-628
365 2019-05-29 journals/jmlr/Lacoste-JulienHG11 Simon Lacoste-Julien,Ferenc Huszar,Zoubin Ghahramani Approximate inference for the loss-calibrated Bayesian. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Lacoste-JulienHG11 conf/aistats/2011 416-424
366 2019-05-29 journals/jmlr/DaiH10 Bo Dai,Bao-Gang Hu Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering. ACML 2010 db/journals/jmlr/jmlrp13.html#DaiH10 conf/acml/2010 47-62
367 2019-05-29 journals/jmlr/WangS09 Zhuoran Wang,John Shawe-Taylor Large-Margin Structured Prediction via Linear Programming. AISTATS 2009 db/journals/jmlr/jmlrp5.html#WangS09 conf/aistats/2009 599-606
368 2019-05-29 journals/jmlr/OkitaGW10 Tsuyoshi Okita 0002,Yvette Graham,Andy Way Gap Between Theory and Practice: Noise Sensitive Word Alignment in Machine Translation. WAPA 2010 db/journals/jmlr/jmlrp11.html#OkitaGW10 conf/wapa/2010 119-126
369 2019-05-29 journals/jmlr/SchieggNK12 Martin Schiegg,Marion Neumann,Kristian Kersting Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SchieggNK12 conf/aistats/2012 1002-1011
370 2019-05-29 journals/jmlr/ShivaswamyJ12 Pannagadatta K. Shivaswamy,Thorsten Joachims Multi-armed Bandit Problems with History. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ShivaswamyJ12 conf/aistats/2012 1046-1054
371 2019-05-29 journals/jmlr/SnelsonG07 Edward Snelson,Zoubin Ghahramani Local and global sparse Gaussian process approximations. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SnelsonG07 conf/aistats/2007 524-531
372 2019-05-29 journals/jmlr/GuDLH12 Quanquan Gu,Marina Danilevsky,Zhenhui Li,Jiawei Han 0001 Locality Preserving Feature Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#GuDLH12 conf/aistats/2012 477-485
373 2019-05-29 journals/jmlr/SmithW10 Raymond S. Smith,Terry Windeatt Facial Expression Detection using Filtered Local Binary Pattern Features with ECOC Classifiers and Platt Scaling. WAPA 2010 db/journals/jmlr/jmlrp11.html#SmithW10 conf/wapa/2010 111-118
374 2019-05-29 journals/jmlr/LarochelleEV09 Hugo Larochelle,Dumitru Erhan,Pascal Vincent Deep Learning using Robust Interdependent Codes. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LarochelleEV09 conf/aistats/2009 312-319
375 2019-05-29 journals/jmlr/Verma12 Nakul Verma Distance Preserving Embeddings for General n-Dimensional Manifolds. COLT 2012 db/journals/jmlr/jmlrp23.html#Verma12 conf/colt/2012 32.1-32.28
376 2019-05-29 journals/jmlr/PintoFBE11 Jervis Pinto,Alan Fern,Tim Bauer,Martin Erwig Improving Policy Gradient Estimates with Influence Information. ACML 2011 db/journals/jmlr/jmlrp20.html#PintoFBE11 conf/acml/2011 1-18
377 2020-03-10 journals/jmlr/BalakrishnanWSMHAKAMA12 Suhrid Balakrishnan,Rensheng Wang,Carlos Eduardo Scheidegger,Angus MacLellan,Yifan Hu,Aaron Archer,Shankar Krishnan,David L. Applegate,Guangqin Ma,S. Tom Au Combining Predictors for Recommending Music: the False Positives' approach to KDD Cup track 2. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#BalakrishnanWSMHAKAMA12 conf/kdd/2011kddcup 199-213
378 2019-05-29 journals/jmlr/WhiteS12 Martha White,Dale Schuurmans Generalized Optimal Reverse Prediction. AISTATS 2012 db/journals/jmlr/jmlrp22.html#WhiteS12 conf/aistats/2012 1305-1313
379 2019-05-29 journals/jmlr/MontavonBM12 Grégoire Montavon,Mikio L. Braun,Klaus-Robert Müller Deep Boltzmann Machines as Feed-Forward Hierarchies. AISTATS 2012 db/journals/jmlr/jmlrp22.html#MontavonBM12 conf/aistats/2012 798-804
380 2019-05-29 journals/jmlr/GlobersonJ07 Amir Globerson,Tommi S. Jaakkola Approximate inference using conditional entropy decompositions. AISTATS 2007 db/journals/jmlr/jmlrp2.html#GlobersonJ07 conf/aistats/2007 130-138
381 2019-05-29 journals/jmlr/Cawley11 Gavin C. Cawley Baseline Methods for Active Learning. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#Cawley11 conf/aistats/2010w 47-57
382 2019-06-23 journals/jmlr/ZhangH10 Kun Zhang 0001,Aapo Hyvärinen Nonlinear acyclic causal models. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#ZhangH10 conf/nips/2008coa 157-164
383 2019-05-29 journals/jmlr/DaliFR10 Lorand Dali,Blaz Fortuna,Jan Rupnik Learning to Rank for Personalized News Article Retrieval. WAPA 2010 db/journals/jmlr/jmlrp11.html#DaliFR10 conf/wapa/2010 152-159
384 2019-05-29 journals/jmlr/TillmanS11 Robert E. Tillman,Peter Spirtes Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables. AISTATS 2011 db/journals/jmlr/jmlrp15.html#TillmanS11 conf/aistats/2011 3-15
385 2019-05-29 journals/jmlr/PocockLB12 Adam Craig Pocock,Mikel Luján,Gavin Brown 0001 Informative Priors for Markov Blanket Discovery. AISTATS 2012 db/journals/jmlr/jmlrp22.html#PocockLB12 conf/aistats/2012 905-913
386 2019-05-29 journals/jmlr/BracegirdleB11 Chris Bracegirdle,David Barber Switch-Reset Models : Exact and Approximate Inference. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BracegirdleB11 conf/aistats/2011 190-198
387 2019-05-29 journals/jmlr/GuilloryCB09 Andrew Guillory,Erick Chastain,Jeff A. Bilmes Active Learning as Non-Convex Optimization. AISTATS 2009 db/journals/jmlr/jmlrp5.html#GuilloryCB09 conf/aistats/2009 201-208
388 2021-03-29 journals/jmlr/BuhmannCFS12 Joachim M. Buhmann,Morteza Haghir Chehreghani,Mario Frank 0001,Andreas P. Streich Information Theoretic Model Selection for Pattern Analysis. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#BuhmannCFS12 conf/icml/2011utl 51-64
389 2019-05-29 journals/jmlr/Mahalanabis11 Satyaki Mahalanabis Learning mixtures of Gaussians with maximum-a-posteriori oracle. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Mahalanabis11 conf/aistats/2011 489-497
390 2019-05-29 journals/jmlr/Settles11 Burr Settles From Theories to Queries. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#Settles11 conf/aistats/2010w 1-18
391 2019-05-29 journals/jmlr/TriantafillouTT10 Sofia Triantafilou,Ioannis Tsamardinos,Ioannis G. Tollis Learning Causal Structure from Overlapping Variable Sets. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TriantafillouTT10 conf/aistats/2010 860-867
392 2019-05-29 journals/jmlr/BiggioNL11 Battista Biggio,Blaine Nelson,Pavel Laskov Support Vector Machines Under Adversarial Label Noise. ACML 2011 db/journals/jmlr/jmlrp20.html#BiggioNL11 conf/acml/2011 97-112
393 2019-05-29 journals/jmlr/LeverDS12 Guy Lever,Tom Diethe,John Shawe-Taylor Data dependent kernels in nearly-linear time. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LeverDS12 conf/aistats/2012 685-693
394 2019-05-29 journals/jmlr/SaitoKOM10 Kazumi Saito,Masahiro Kimura,Kouzou Ohara,Hiroshi Motoda Generative Models of Information Diffusion with Asynchronous Timedelay. ACML 2010 db/journals/jmlr/jmlrp13.html#SaitoKOM10 conf/acml/2010 193-208
395 2019-05-29 journals/jmlr/KotlowskiG11 Wojciech Kotlowski,Peter Grünwald Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation. COLT 2011 db/journals/jmlr/jmlrp19.html#KotlowskiG11 conf/colt/2011 457-476
396 2019-05-29 journals/jmlr/SasakiGSH12 Hiroaki Sasaki,Michael Gutmann,Hayaru Shouno,Aapo Hyvärinen Topographic Analysis of Correlated Components. ACML 2012 db/journals/jmlr/jmlrp25.html#SasakiGSH12 conf/acml/2012 365-378
397 2019-05-29 journals/jmlr/SinghGB12 Ajit P. Singh,Andrew Guillory,Jeff A. Bilmes On Bisubmodular Maximization. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SinghGB12 conf/aistats/2012 1055-1063
398 2019-05-29 journals/jmlr/Ben-DavidLPS09 Shai Ben-David,Tyler Lu,Dávid Pál,Miroslava Sotáková Learning Low Density Separators. AISTATS 2009 db/journals/jmlr/jmlrp5.html#Ben-DavidLPS09 conf/aistats/2009 25-32
399 2019-05-29 journals/jmlr/LorbertEKBR10 Alexander Lorbert,David J. Eis,Victoria Kostina,David M. Blei,Peter J. Ramadge Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net. AISTATS 2010 db/journals/jmlr/jmlrp9.html#LorbertEKBR10 conf/aistats/2010 477-484
400 2019-05-29 journals/jmlr/ChenSXWMLX12 Xiaohui Chen,Xinghua Shi,Xing Xu,Zhiyong Wang 0005,Ryan Mills,Charles Lee,Jinbo Xu A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ChenSXWMLX12 conf/aistats/2012 208-217
401 2019-05-29 journals/jmlr/Eichler10 Michael Eichler Graphical Gaussian modelling of multivariate time series with latent variables. AISTATS 2010 db/journals/jmlr/jmlrp9.html#Eichler10 conf/aistats/2010 193-200
402 2019-05-29 journals/jmlr/SilanderRM09 Tomi Silander,Teemu Roos,Petri Myllymäki Locally Minimax Optimal Predictive Modeling with Bayesian Networks. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SilanderRM09 conf/aistats/2009 504-511
403 2019-05-29 journals/jmlr/AsuncionLIS10 Arthur U. Asuncion,Qiang Liu 0001,Alexander T. Ihler,Padhraic Smyth Learning with Blocks: Composite Likelihood and Contrastive Divergence. AISTATS 2010 db/journals/jmlr/jmlrp9.html#AsuncionLIS10 conf/aistats/2010 33-40
404 2019-07-18 journals/jmlr/TheodorouBS10a Evangelos A. Theodorou,Jonas Buchli,Stefan Schaal Learning Policy Improvements with Path Integrals. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TheodorouBS10a conf/aistats/2010 828-835
405 2019-05-29 journals/jmlr/MohriMW10 Mehryar Mohri,Pedro J. Moreno,Eugene Weinstein Discriminative Topic Segmentation of Text and Speech. AISTATS 2010 db/journals/jmlr/jmlrp9.html#MohriMW10 conf/aistats/2010 533-540
406 2019-05-29 journals/jmlr/RatliffBZ07 Nathan D. Ratliff,J. Andrew Bagnell,Martin Zinkevich (Approximate) Subgradient Methods for Structured Prediction. AISTATS 2007 db/journals/jmlr/jmlrp2.html#RatliffBZ07 conf/aistats/2007 380-387
407 2019-05-29 journals/jmlr/XieRPC09 Jianjun Xie,Viktoria Rojkova,Siddharth Pal,Stephen Coggeshall A Combination of Boosting and Bagging for KDD Cup 2009 - Fast Scoring on a Large Database. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#XieRPC09 conf/kdd/2009kddcup 35-43
408 2019-05-29 journals/jmlr/BordesUCW10 Antoine Bordes,Nicolas Usunier,Ronan Collobert,Jason Weston Towards Understanding Situated Natural Language. AISTATS 2010 db/journals/jmlr/jmlrp9.html#BordesUCW10 conf/aistats/2010 65-72
409 2019-05-29 journals/jmlr/YinZWHZG08 Jianxin Yin,You Zhou 0001,Changzhang Wang,Ping He,Cheng Zheng,Zhi Geng Partial orientation and local structural learning of causal networks for prediction. WCCI Causation and Prediction Challenge 2008 db/journals/jmlr/jmlrp3.html#YinZWHZG08 conf/wcci/2008cpc 93-105
410 2019-05-29 journals/jmlr/MaatenWS11 Laurens van der Maaten,Max Welling,Lawrence K. Saul Hidden-Unit Conditional Random Fields. AISTATS 2011 db/journals/jmlr/jmlrp15.html#MaatenWS11 conf/aistats/2011 479-488
411 2019-05-29 journals/jmlr/SzitaS11 István Szita,Csaba Szepesvári Agnostic KWIK learning and efficient approximate reinforcement learning. COLT 2011 db/journals/jmlr/jmlrp19.html#SzitaS11 conf/colt/2011 739-772
412 2019-05-29 journals/jmlr/BijralBG07 Avleen Singh Bijral,Markus Breitenbach,Gregory Z. Grudic Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings. AISTATS 2007 db/journals/jmlr/jmlrp2.html#BijralBG07 conf/aistats/2007 35-42
413 2019-05-29 journals/jmlr/RooijE09 Steven de Rooij,Tim van Erven Learning the Switching Rate by Discretising Bernoulli Sources Online. AISTATS 2009 db/journals/jmlr/jmlrp5.html#RooijE09 conf/aistats/2009 432-439
414 2019-05-29 journals/jmlr/ZhouSL12 Guanyu Zhou,Kihyuk Sohn,Honglak Lee Online Incremental Feature Learning with Denoising Autoencoders. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhouSL12 conf/aistats/2012 1453-1461
415 2019-05-29 journals/jmlr/Storkey11 Amos J. Storkey Machine Learning Markets. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Storkey11 conf/aistats/2011 716-724
416 2019-05-29 journals/jmlr/IshihataKSM10 Masakazu Ishihata,Yoshitaka Kameya,Taisuke Sato,Shin-ichi Minato An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models. ACML 2010 db/journals/jmlr/jmlrp13.html#IshihataKSM10 conf/acml/2010 161-176
417 2019-05-29 journals/jmlr/NikulinM09 Vladimir Nikulin,Geoffrey J. McLachlan Classification of Imbalanced Marketing Data with Balanced Random Sets. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#NikulinM09 conf/kdd/2009kddcup 89-100
418 2019-05-29 journals/jmlr/XinJ12 Yu Xin,Tommi S. Jaakkola Primal-Dual methods for sparse constrained matrix completion. AISTATS 2012 db/journals/jmlr/jmlrp22.html#XinJ12 conf/aistats/2012 1323-1331
419 2019-05-29 journals/jmlr/MommaHN10 Michinari Momma,Kohei Hatano,Hiroki Nakayama Ellipsoidal Support Vector Machines. ACML 2010 db/journals/jmlr/jmlrp13.html#MommaHN10 conf/acml/2010 31-46
420 2019-05-29 journals/jmlr/AcharyaDJOPS12 Jayadev Acharya,Hirakendu Das,Ashkan Jafarpour,Alon Orlitsky,Shengjun Pan,Ananda Theertha Suresh Competitive Classification and Closeness Testing. COLT 2012 db/journals/jmlr/jmlrp23.html#AcharyaDJOPS12 conf/colt/2012 22.1-22.18
421 2019-05-29 journals/jmlr/DanielySBS11 Amit Daniely,Sivan Sabato,Shai Ben-David,Shai Shalev-Shwartz Multiclass Learnability and the ERM principle. COLT 2011 db/journals/jmlr/jmlrp19.html#DanielySBS11 conf/colt/2011 207-232
422 2019-05-29 journals/jmlr/AirolaPWBS10 Antti Airola,Tapio Pahikkala,Willem Waegeman,Bernard De Baets,Tapio Salakoski A comparison of AUC estimators in small-sample studies. MLSB 2010 db/journals/jmlr/jmlrp8.html#AirolaPWBS10 conf/mlsb/2009 3-13
423 2019-05-29 journals/jmlr/Liu07 Yufeng Liu Fisher Consistency of Multicategory Support Vector Machines. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Liu07 conf/aistats/2007 291-298
424 2019-05-29 journals/jmlr/JanecekGDE08 Andreas Janecek,Wilfried N. Gansterer,Michael Demel,Gerhard F. Ecker On the Relationship Between Feature Selection and Classification Accuracy. FSDM 2008 db/journals/jmlr/jmlrp4.html#JanecekGDE08 conf/pkdd/2008fsdm 90-105
425 2019-05-29 journals/jmlr/HoiB12 Steven C. H. Hoi,Wray L. Buntine Preface. ACML 2012 db/journals/jmlr/jmlrp25.html#HoiB12 conf/acml/2012
426 2019-05-29 journals/jmlr/AilonBE12 Nir Ailon,Ron Begleiter,Esther Ezra Active Learning Using Smooth Relative Regret Approximations with Applications. COLT 2012 db/journals/jmlr/jmlrp23.html#AilonBE12 conf/colt/2012 19.1-19.20
427 2021-03-01 journals/jmlr/LiWH10 Pei-Pei Li 0001,Xindong Wu 0001,Xuegang Hu Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACML 2010 db/journals/jmlr/jmlrp13.html#LiWH10 conf/acml/2010 241-252
428 2019-05-29 journals/jmlr/LivniCG12 Roi Livni,Koby Crammer,Amir Globerson A Simple Geometric Interpretation of SVM using Stochastic Adversaries. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LivniCG12 conf/aistats/2012 722-730
429 2019-05-29 journals/jmlr/BusoniuM12 Lucian Busoniu,Rémi Munos Optimistic planning for Markov decision processes. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BusoniuM12 conf/aistats/2012 182-189
430 2019-05-29 journals/jmlr/LeeSS12 Gyemin Lee,Lloyd Stoolman,Clayton Scott Transfer Learning for Auto-gating of Flow Cytometry Data. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#LeeSS12 conf/icml/2011utl 155-166
431 2019-05-29 journals/jmlr/MaoLM10 Kai Mao,Feng Liang,Sayan Mukherjee 0001 Supervised Dimension Reduction Using Bayesian Mixture Modeling. AISTATS 2010 db/journals/jmlr/jmlrp9.html#MaoLM10 conf/aistats/2010 501-508
432 2019-05-29 journals/jmlr/SahaT11 Ankan Saha,Ambuj Tewari Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SahaT11 conf/aistats/2011 636-642
433 2019-05-29 journals/jmlr/WangS11 Meihong Wang,Fei Sha Information Theoretical Clustering via Semidefinite Programming. AISTATS 2011 db/journals/jmlr/jmlrp15.html#WangS11 conf/aistats/2011 761-769
434 2019-05-29 journals/jmlr/Shalev-ShwartzST12 Shai Shalev-Shwartz,Ohad Shamir,Eran Tromer Using More Data to Speed-up Training Time. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Shalev-ShwartzST12 conf/aistats/2012 1019-1027
435 2019-07-25 journals/jmlr/HuangS09 Bert Huang,Ansaf Salleb-Aouissi Maximum Entropy Density Estimation with Incomplete Presence-Only Data. AISTATS 2009 db/journals/jmlr/jmlrp5.html#HuangS09 conf/aistats/2009 240-247
436 2019-05-29 journals/jmlr/Cesa-BianchiV10 Nicolò Cesa-Bianchi,Giorgio Valentini Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction. MLSB 2010 db/journals/jmlr/jmlrp8.html#Cesa-BianchiV10 conf/mlsb/2009 14-29
437 2019-05-29 journals/jmlr/Abou-MoustafaF12 Karim T. Abou-Moustafa,Frank P. Ferrie A Note on Metric Properties for Some Divergence Measures: The Gaussian Case. ACML 2012 db/journals/jmlr/jmlrp25.html#Abou-MoustafaF12 conf/acml/2012 1-15
438 2019-05-29 journals/jmlr/LiCLMW12 Lihong Li 0001,Wei Chu,John Langford 0001,Taesup Moon,Xuanhui Wang Bandits with Generalized Linear Models. ICML On-line Trading of Exploration and Exploitation 2012 db/journals/jmlr/jmlrp26.html#LiCLMW12 conf/icml/2011otee 19-36
439 2019-05-29 journals/jmlr/Yu12 Chun-Nam Yu Transductive Learning of Structural SVMs via Prior Knowledge Constraints. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Yu12 conf/aistats/2012 1367-1376
440 2019-05-29 journals/jmlr/RalaivolaSS09 Liva Ralaivola,Marie Szafranski,Guillaume Stempfel Chromatic PAC-Bayes Bounds for Non-IID Data. AISTATS 2009 db/journals/jmlr/jmlrp5.html#RalaivolaSS09 conf/aistats/2009 416-423
441 2021-04-23 journals/jmlr/MillerCLLLPJ09 Hugh Miller,Sandy Clarke,Stephen Lane,Andrew Lonie,David Lazaridis,Slavé Petrovski,Owen Jones Predicting customer behaviour: The University of Melbourne's KDD Cup report. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#MillerCLLLPJ09 conf/kdd/2009kddcup 45-55
442 2019-05-29 journals/jmlr/JohnsonJR12 Christopher C. Johnson,Ali Jalali,Pradeep Ravikumar High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods. AISTATS 2012 db/journals/jmlr/jmlrp22.html#JohnsonJR12 conf/aistats/2012 574-582
443 2019-05-29 journals/jmlr/ChiH11 Mingmin Chi,Huijun He Nonlinear Online Classificatand Michion Algorithm with Probability Margin. ACML 2011 db/journals/jmlr/jmlrp20.html#ChiH11 conf/acml/2011 33-46
444 2019-05-29 journals/jmlr/OtakiY12 Keisuke Otaki,Akihiro Yamamoto Estimation of Generating Processes of Strings Represented with Patterns and Refinements. ICGI 2012 db/journals/jmlr/jmlrp21.html#OtakiY12 conf/icgi/2012 177-182
445 2019-05-29 journals/jmlr/LiC12 Lihong Li 0001,Olivier Chapelle Open Problem: Regret Bounds for Thompson Sampling. COLT 2012 db/journals/jmlr/jmlrp23.html#LiC12 conf/colt/2012 43.1-43.3
446 2019-05-29 journals/jmlr/Sorokina09 Daria Sorokina Application of Additive Groves Ensemble with Multiple Counts Feature Evaluation to KDD Cup'09 Small Data Set. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#Sorokina09 conf/kdd/2009kddcup 101-109
447 2019-07-19 journals/jmlr/JungP07 Tobias Jung 0001,Daniel Polani Learning RoboCup-Keepaway with Kernels. Gaussian Processes in Practice 2007 db/journals/jmlr/jmlrp1.html#JungP07 journals/jmlr/2006gpp 33-57
448 2019-05-29 journals/jmlr/WangV10 Zhuang Wang,Slobodan Vucetic Online Passive-Aggressive Algorithms on a Budget. AISTATS 2010 db/journals/jmlr/jmlrp9.html#WangV10 conf/aistats/2010 908-915
449 2019-05-29 journals/jmlr/DietheCS10 Tom Diethe,Nello Cristianini,John Shawe-Taylor Preface. WAPA 2010 db/journals/jmlr/jmlrp11.html#DietheCS10 conf/wapa/2010 1-3
450 2019-05-29 journals/jmlr/LuLL11 Hongtao Lu,Xianzhong Long,Jingyuan Lv A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LuLL11 conf/aistats/2011 461-469
451 2019-05-29 journals/jmlr/Lawrence07 Neil D. Lawrence Learning for Larger Datasets with the Gaussian Process Latent Variable Model. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Lawrence07 conf/aistats/2007 243-250
452 2019-05-29 journals/jmlr/RossGB11 Stéphane Ross,Geoffrey J. Gordon,Drew Bagnell A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. AISTATS 2011 db/journals/jmlr/jmlrp15.html#RossGB11 conf/aistats/2011 627-635
453 2019-05-29 journals/jmlr/GantnerDFS12 Zeno Gantner,Lucas Drumond,Christoph Freudenthaler,Lars Schmidt-Thieme Personalized Ranking for Non-Uniformly Sampled Items. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#GantnerDFS12 conf/kdd/2011kddcup 231-247
454 2019-05-29 journals/jmlr/StimbergRO12 Florian Stimberg,Andreas Ruttor,Manfred Opper Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach. AISTATS 2012 db/journals/jmlr/jmlrp22.html#StimbergRO12 conf/aistats/2012 1117-1124
455 2019-05-29 journals/jmlr/Bengio11 Yoshua Bengio Discussion of "The Neural Autoregressive Distribution Estimator". AISTATS 2011 db/journals/jmlr/jmlrp15.html#Bengio11 conf/aistats/2011 38-39
456 2019-05-29 journals/jmlr/TrapeznikovSC11 Kirill Trapeznikov,Venkatesh Saligrama,David A. Castañón Active Boosted Learning (ActBoost). AISTATS 2011 db/journals/jmlr/jmlrp15.html#TrapeznikovSC11 conf/aistats/2011 743-751
457 2019-05-29 journals/jmlr/WilliamsFW07 Jason L. Williams,John W. Fisher III,Alan S. Willsky Performance Guarantees for Information Theoretic Active Inference. AISTATS 2007 db/journals/jmlr/jmlrp2.html#WilliamsFW07 conf/aistats/2007 620-627
458 2019-05-29 journals/jmlr/MahendranWHF12 Nimalan Mahendran,Ziyu Wang 0001,Firas Hamze,Nando de Freitas Adaptive MCMC with Bayesian Optimization. AISTATS 2012 db/journals/jmlr/jmlrp22.html#MahendranWHF12 conf/aistats/2012 751-760
459 2019-05-29 journals/jmlr/HazanK12 Elad Hazan,Sham M. Kakade (weak) Calibration is Computationally Hard. COLT 2012 db/journals/jmlr/jmlrp23.html#HazanK12 conf/colt/2012 3.1-3.10
460 2019-05-29 journals/jmlr/ZhangS12 Yi Zhang 0010,Jeff G. Schneider A Composite Likelihood View for Multi-Label Classification. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhangS12 conf/aistats/2012 1407-1415
461 2019-05-29 journals/jmlr/RaykarZ10 Vikas C. Raykar,Linda H. Zhao Nonparametric prior for adaptive sparsity. AISTATS 2010 db/journals/jmlr/jmlrp9.html#RaykarZ10 conf/aistats/2010 629-636
462 2019-05-29 journals/jmlr/Dawid10 A. Philip Dawid Beware of the DAG! NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#Dawid10 conf/nips/2008coa 59-86
463 2019-05-29 journals/jmlr/PandolfiBF10 Silvia Pandolfi,Francesco Bartolucci,Nial Friel A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. AISTATS 2010 db/journals/jmlr/jmlrp9.html#PandolfiBF10 conf/aistats/2010 581-588
464 2019-05-29 journals/jmlr/DoA10 Trinh Minh Tri Do,Thierry Artières Neural conditional random fields. AISTATS 2010 db/journals/jmlr/jmlrp9.html#DoA10 conf/aistats/2010 177-184
465 2019-05-29 journals/jmlr/KohlerORS08 Andreas Köhler,Matthias Ohrnberger,Carsten Riggelsen,Frank Scherbaum Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields. FSDM 2008 db/journals/jmlr/jmlrp4.html#KohlerORS08 conf/pkdd/2008fsdm 106-121
466 2019-05-29 journals/jmlr/XiaoS10 Han Xiao 0002,Thomas Stibor Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation. ACML 2010 db/journals/jmlr/jmlrp13.html#XiaoS10 conf/acml/2010 63-78
467 2019-05-29 journals/jmlr/KerstingWTB10 Kristian Kersting,Mirwaes Wahabzada,Christian Thurau,Christian Bauckhage Hierarchical Convex NMF for Clustering Massive Data. ACML 2010 db/journals/jmlr/jmlrp13.html#KerstingWTB10 conf/acml/2010 253-268
468 2020-04-23 journals/jmlr/DuvenaudEMS10 David Duvenaud,Daniel Eaton,Kevin P. Murphy,Mark Schmidt 0001 Causal learning without DAGs. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#DuvenaudEMS10 conf/nips/2008coa 177-190
469 2019-05-29 journals/jmlr/RothST09 Dan Roth,Kevin Small,Ivan Titov Sequential Learning of Classifiers for Structured Prediction Problems. AISTATS 2009 db/journals/jmlr/jmlrp5.html#RothST09 conf/aistats/2009 440-447
470 2019-05-29 journals/jmlr/DekelS12 Ofer Dekel,Ohad Shamir There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DekelS12 conf/aistats/2012 291-298
471 2019-05-29 journals/jmlr/AlvarezLTL10 Mauricio A. Álvarez,David Luengo,Michalis K. Titsias,Neil D. Lawrence Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. AISTATS 2010 db/journals/jmlr/jmlrp9.html#AlvarezLTL10 conf/aistats/2010 25-32
472 2019-05-29 journals/jmlr/Carreira-PerpinanL07 Miguel Á. Carreira-Perpiñán,Zhengdong Lu The Laplacian Eigenmaps Latent Variable Model. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Carreira-PerpinanL07 conf/aistats/2007 59-66
473 2020-08-13 journals/jmlr/ChapelleC11 Olivier Chapelle,Yi Chang 0001 Yahoo! Learning to Rank Challenge Overview. Yahoo! Learning to Rank Challenge 2011 db/journals/jmlr/jmlrp14.html#ChapelleC11 conf/icml/2010ltr 1-24
474 2019-05-29 journals/jmlr/BuchbinderCNS12 Niv Buchbinder,Shahar Chen,Joseph Naor,Ohad Shamir Unified Algorithms for Online Learning and Competitive Analysis. COLT 2012 db/journals/jmlr/jmlrp23.html#BuchbinderCNS12 conf/colt/2012 5.1-5.18
475 2019-05-29 journals/jmlr/KvetonVRH10 Branislav Kveton,Michal Valko,Ali Rahimi,Ling Huang Semi-Supervised Learning with Max-Margin Graph Cuts. AISTATS 2010 db/journals/jmlr/jmlrp9.html#KvetonVRH10 conf/aistats/2010 421-428
476 2019-05-29 journals/jmlr/BrubakerSU12 Marcus A. Brubaker,Mathieu Salzmann,Raquel Urtasun A Family of MCMC Methods on Implicitly Defined Manifolds. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BrubakerSU12 conf/aistats/2012 161-172
477 2019-05-29 journals/jmlr/VerwerEH12 Sicco Verwer,Rémi Eyraud,Colin de la Higuera Results of the PAutomaC Probabilistic Automaton Learning Competition. ICGI 2012 db/journals/jmlr/jmlrp21.html#VerwerEH12 conf/icgi/2012 243-248
478 2019-05-29 journals/jmlr/HuangGJG09 Jonathan Huang,Carlos Guestrin,Xiaoye Jiang,Leonidas J. Guibas Exploiting Probabilistic Independence for Permutations. AISTATS 2009 db/journals/jmlr/jmlrp5.html#HuangGJG09 conf/aistats/2009 248-255
479 2019-05-29 journals/jmlr/FosterRST11 Dean P. Foster,Alexander Rakhlin,Karthik Sridharan,Ambuj Tewari Complexity-Based Approach to Calibration with Checking Rules. COLT 2011 db/journals/jmlr/jmlrp19.html#FosterRST11 conf/colt/2011 293-314
480 2019-05-29 journals/jmlr/Yuan07 Ming Yuan Nonnegative Garrote Component Selection in Functional ANOVA models. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Yuan07 conf/aistats/2007 660-666
481 2019-05-29 journals/jmlr/AbernethyF12 Jacob D. Abernethy,Rafael M. Frongillo A Characterization of Scoring Rules for Linear Properties. COLT 2012 db/journals/jmlr/jmlrp23.html#AbernethyF12 conf/colt/2012 27.1-27.13
482 2019-05-29 journals/jmlr/GeistP11 Matthieu Geist,Olivier Pietquin Managing Uncertainty within KTD. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#GeistP11 conf/aistats/2010w 157-168
483 2019-05-29 journals/jmlr/TarlowZ12 Daniel Tarlow,Richard S. Zemel Structured Output Learning with High Order Loss Functions. AISTATS 2012 db/journals/jmlr/jmlrp22.html#TarlowZ12 conf/aistats/2012 1212-1220
484 2019-05-29 journals/jmlr/YanRFFRD12 Yan Yan,Rómer Rosales,Glenn Fung,Faisal Farooq,Bharat Rao,Jennifer G. Dy Active Learning from Multiple Knowledge Sources. AISTATS 2012 db/journals/jmlr/jmlrp22.html#YanRFFRD12 conf/aistats/2012 1350-1357
485 2019-05-29 journals/jmlr/BalasubramanianDL11 Krishnakumar Balasubramanian,Pinar Donmez,Guy Lebanon Unsupervised Supervised Learning II: Margin-Based Classification without Labels. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BalasubramanianDL11 conf/aistats/2011 137-145
486 2019-05-29 journals/jmlr/JohnsonCW07 Jason K. Johnson,Venkat Chandrasekaran,Alan S. Willsky Learning Markov Structure by Maximum Entropy Relaxation. AISTATS 2007 db/journals/jmlr/jmlrp2.html#JohnsonCW07 conf/aistats/2007 203-210
487 2019-05-29 journals/jmlr/HannekeX09 Steve Hanneke,Eric P. Xing Network Completion and Survey Sampling. AISTATS 2009 db/journals/jmlr/jmlrp5.html#HannekeX09 conf/aistats/2009 209-215
488 2019-05-29 journals/jmlr/JiangYLG12 Xiaoye Jiang,Yuan Yao,Han Liu,Leonidas J. Guibas Detecting Network Cliques with Radon Basis Pursuit. AISTATS 2012 db/journals/jmlr/jmlrp22.html#JiangYLG12 conf/aistats/2012 565-573
489 2019-05-29 journals/jmlr/KhanMMM12 Mohammad Emtiyaz Khan,Shakir Mohamed,Benjamin M. Marlin,Kevin P. Murphy A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KhanMMM12 conf/aistats/2012 610-618
490 2019-05-29 journals/jmlr/StepletonGGL09 Thomas S. Stepleton,Zoubin Ghahramani,Geoffrey J. Gordon,Tai Sing Lee The Block Diagonal Infinite Hidden Markov Model. AISTATS 2009 db/journals/jmlr/jmlrp5.html#StepletonGGL09 conf/aistats/2009 552-559
491 2019-05-29 journals/jmlr/SalakhutdinovH07 Ruslan Salakhutdinov,Geoffrey E. Hinton Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SalakhutdinovH07 conf/aistats/2007 412-419
492 2019-05-29 journals/jmlr/HullamASF10 Gábor Hullám,Peter Antal,Csaba Szalai,András Falus Evaluation of a Bayesian model-based approach in GA studies. MLSB 2010 db/journals/jmlr/jmlrp8.html#HullamASF10 conf/mlsb/2009 30-43
493 2019-05-29 journals/jmlr/KolarL12 Mladen Kolar,Han Liu Marginal Regression For Multitask Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KolarL12 conf/aistats/2012 647-655
494 2019-05-29 journals/jmlr/HazanKS12 Elad Hazan,Satyen Kale,Shai Shalev-Shwartz Near-Optimal Algorithms for Online Matrix Prediction. COLT 2012 db/journals/jmlr/jmlrp23.html#HazanKS12 conf/colt/2012 38.1-38.13
495 2019-05-29 journals/jmlr/Shawe-TaylorD07 John Shawe-Taylor,Alexander N. Dolia A Framework for Probability Density Estimation. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Shawe-TaylorD07 conf/aistats/2007 468-475
496 2019-05-29 journals/jmlr/Shamir12 Ohad Shamir Open Problem: Is Averaging Needed for Strongly Convex Stochastic Gradient Descent? COLT 2012 db/journals/jmlr/jmlrp23.html#Shamir12 conf/colt/2012 47.1-47.3
497 2019-05-29 journals/jmlr/HuangJ10a Jim C. Huang,Nebojsa Jojic Maximum-likelihood learning of cumulative distribution functions on graphs. AISTATS 2010 db/journals/jmlr/jmlrp9.html#HuangJ10a conf/aistats/2010 342-349
498 2019-05-29 journals/jmlr/AgarwalWCLKB07 Sameer Agarwal 0001,Josh Wills,Lawrence Cayton,Gert R. G. Lanckriet,David J. Kriegman,Serge J. Belongie Generalized Non-metric Multidimensional Scaling. AISTATS 2007 db/journals/jmlr/jmlrp2.html#AgarwalWCLKB07 conf/aistats/2007 11-18
499 2019-05-29 journals/jmlr/KolarX10 Mladen Kolar,Eric P. Xing Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach. AISTATS 2010 db/journals/jmlr/jmlrp9.html#KolarX10 conf/aistats/2010 413-420
500 2019-05-29 journals/jmlr/AsbehL12 Nuaman Asbeh,Boaz Lerner Learning Latent Variable Models by Pairwise Cluster Comparison. ACML 2012 db/journals/jmlr/jmlrp25.html#AsbehL12 conf/acml/2012 33-48
501 2019-05-29 journals/jmlr/SinghMG10 Sanasam Ranbir Singh,Hema A. Murthy,Timothy A. Gonsalves Feature Selection for Text Classification Based on Gini Coefficient of Inequality. FSDM 2010 db/journals/jmlr/jmlrp10.html#SinghMG10 conf/pakdd/2010fsdm 76-85
502 2019-05-29 journals/jmlr/KuruczSBCFIKS09 Miklós Kurucz,Dávid Siklósi,István Bíró,Péter Csizsek,Zsolt Fekete,Róbert Iwatt,Tamás Kiss,Adrienn Szabó KDD Cup 2009 @ Budapest: feature partitioning and boosting. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#KuruczSBCFIKS09 conf/kdd/2009kddcup 65-75
503 2019-05-29 journals/jmlr/ZhouYSDC11 Mingyuan Zhou,Hongxia Yang,Guillermo Sapiro,David B. Dunson,Lawrence Carin Dependent Hierarchical Beta Process for Image Interpolation and Denoising. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZhouYSDC11 conf/aistats/2011 883-891
504 2019-05-29 journals/jmlr/LiS10 Fuxin Li,Cristian Sminchisescu The Feature Selection Path in Kernel Methods. AISTATS 2010 db/journals/jmlr/jmlrp9.html#LiS10 conf/aistats/2010 445-452
505 2021-01-21 journals/jmlr/SchmidSSKL12 Ute Schmid,Michael Siebers,Dominik Seuß,Miriam Kunz,Stefan Lautenbacher Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain. ICGI 2012 db/journals/jmlr/jmlrp21.html#SchmidSSKL12 conf/icgi/2012 183-188
506 2019-05-29 journals/jmlr/Brown09 Gavin Brown 0001 A New Perspective for Information Theoretic Feature Selection. AISTATS 2009 db/journals/jmlr/jmlrp5.html#Brown09 conf/aistats/2009 49-56
507 2019-11-07 journals/jmlr/DingL11 Lizhong Ding 0001,Shizhong Liao Approximate Model Selection for Large Scale LSSVM. ACML 2011 db/journals/jmlr/jmlrp20.html#DingL11 conf/acml/2011 165-180
508 2019-05-29 journals/jmlr/RavikumarTY11 Pradeep Ravikumar,Ambuj Tewari,Eunho Yang On NDCG Consistency of Listwise Ranking Methods. AISTATS 2011 db/journals/jmlr/jmlrp15.html#RavikumarTY11 conf/aistats/2011 618-626
509 2019-05-29 journals/jmlr/KotlowskiW11 Wojciech Kotlowski,Manfred K. Warmuth Minimax Algorithm for Learning Rotations. COLT 2011 db/journals/jmlr/jmlrp19.html#KotlowskiW11 conf/colt/2011 821-824
510 2019-05-29 journals/jmlr/BalanBWKP11 Anoop Korattikara Balan,Levi Boyles,Max Welling,Jingu Kim,Haesun Park Statistical Optimization of Non-Negative Matrix Factorization. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BalanBWKP11 conf/aistats/2011 128-136
511 2019-05-29 journals/jmlr/WangWZW07 Fei Wang 0001,Shijun Wang,Changshui Zhang,Ole Winther Semi-Supervised Mean Fields. AISTATS 2007 db/journals/jmlr/jmlrp2.html#WangWZW07 conf/aistats/2007 596-603
512 2019-05-29 journals/jmlr/LiZY09 Wu-Jun Li,Zhihua Zhang,Dit-Yan Yeung Latent Wishart Processes for Relational Kernel Learning. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LiZY09 conf/aistats/2009 336-343
513 2019-05-29 journals/jmlr/DerL07 Ricky Der,Daniel Lee Large-Margin Classification in Banach Spaces. AISTATS 2007 db/journals/jmlr/jmlrp2.html#DerL07 conf/aistats/2007 91-98
514 2019-05-29 journals/jmlr/ChenW10 Yutian Chen,Max Welling Parametric Herding. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ChenW10 conf/aistats/2010 97-104
515 2019-05-29 journals/jmlr/GuntuboyinaS12 Adityanand Guntuboyina,Bodhisattva Sen L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012 db/journals/jmlr/jmlrp23.html#GuntuboyinaS12 conf/colt/2012 12.1-12.13
516 2019-05-29 journals/jmlr/BoulariasKP11 Abdeslam Boularias,Jens Kober,Jan Peters 0001 Relative Entropy Inverse Reinforcement Learning. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BoulariasKP11 conf/aistats/2011 182-189
517 2019-05-29 journals/jmlr/LiSS09 Yuxi Li,Csaba Szepesvári,Dale Schuurmans Learning Exercise Policies for American Options. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LiSS09 conf/aistats/2009 352-359
518 2019-05-29 journals/jmlr/GantiG12 Ravi Ganti,Alexander G. Gray UPAL: Unbiased Pool Based Active Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#GantiG12 conf/aistats/2012 422-431
519 2019-05-29 journals/jmlr/RosenbergB07 David S. Rosenberg,Peter L. Bartlett The Rademacher Complexity of Co-Regularized Kernel Classes. AISTATS 2007 db/journals/jmlr/jmlrp2.html#RosenbergB07 conf/aistats/2007 396-403
520 2019-05-29 journals/jmlr/Fink07 Michael Fink 0002 Online Learning of Search Heuristics. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Fink07 conf/aistats/2007 114-122
521 2019-05-29 journals/jmlr/ScottB09 Clayton Scott,Gilles Blanchard Novelty detection: Unlabeled data definitely help. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ScottB09 conf/aistats/2009 464-471
522 2019-05-29 journals/jmlr/BalcanCIW12 Maria-Florina Balcan,Florin Constantin,Satoru Iwata 0001,Lei Wang Learning Valuation Functions. COLT 2012 db/journals/jmlr/jmlrp23.html#BalcanCIW12 conf/colt/2012 4.1-4.24
523 2019-05-29 journals/jmlr/Nguyen-TuongP10 Duy Nguyen-Tuong,Jan Peters 0001 Incremental Sparsification for Real-time Online Model Learning. AISTATS 2010 db/journals/jmlr/jmlrp9.html#Nguyen-TuongP10 conf/aistats/2010 557-564
524 2019-05-29 journals/jmlr/DrorKKW12 Gideon Dror,Noam Koenigstein,Yehuda Koren,Markus Weimer The Yahoo! Music Dataset and KDD-Cup '11. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#DrorKKW12 conf/kdd/2011kddcup 8-18
525 2019-05-29 journals/jmlr/SalakhutdinovTT12 Ruslan Salakhutdinov,Joshua B. Tenenbaum,Antonio Torralba 0001 One-Shot Learning with a Hierarchical Nonparametric Bayesian Model. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#SalakhutdinovTT12 conf/icml/2011utl 195-206
526 2019-05-29 journals/jmlr/PengHSX12 Jian Peng 0001,Tamir Hazan,Nathan Srebro,Jinbo Xu Approximate Inference by Intersecting Semidefinite Bound and Local Polytope. AISTATS 2012 db/journals/jmlr/jmlrp22.html#PengHSX12 conf/aistats/2012 868-876
527 2019-05-29 journals/jmlr/LakshminarayananBA11 Balaji Lakshminarayanan,Guillaume Bouchard,Cédric Archambeau Robust Bayesian Matrix Factorisation. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LakshminarayananBA11 conf/aistats/2011 425-433
528 2019-05-29 journals/jmlr/SiracusaF07 Michael Siracusa,John W. Fisher III Dynamic Factorization Tests: Applications to Multi-modal Data Association. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SiracusaF07 conf/aistats/2007 508-515
529 2019-05-29 journals/jmlr/LiuWZ12 Guoqing Liu,Jianxin Wu,Zhi-Hua Zhou Key Instance Detection in Multi-Instance Learning. ACML 2012 db/journals/jmlr/jmlrp25.html#LiuWZ12 conf/acml/2012 253-268
530 2019-05-29 journals/jmlr/Elidan11 Gal Elidan Bagged Structure Learning of Bayesian Network. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Elidan11 conf/aistats/2011 251-259
531 2019-05-29 journals/jmlr/ChiangLL12 Tsung-Hsien Chiang,Hung-Yi Lo,Shou-De Lin A Ranking-based KNN Approach for Multi-Label Classification. ACML 2012 db/journals/jmlr/jmlrp25.html#ChiangLL12 conf/acml/2012 81-96
532 2019-05-29 journals/jmlr/WangC12 Weiran Wang,Miguel Á. Carreira-Perpiñán Nonlinear low-dimensional regression using auxiliary coordinates. AISTATS 2012 db/journals/jmlr/jmlrp22.html#WangC12 conf/aistats/2012 1295-1304
533 2019-05-29 journals/jmlr/Wang07 Junhui Wang Efficient large margin semisupervised learning. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Wang07 conf/aistats/2007 588-595
534 2019-05-29 journals/jmlr/SriperumbudurFL10 Bharath K. Sriperumbudur,Kenji Fukumizu,Gert R. G. Lanckriet On the relation between universality, characteristic kernels and RKHS embedding of measures. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SriperumbudurFL10 conf/aistats/2010 773-780
535 2019-05-29 journals/jmlr/MaillardMLG10 Odalric-Ambrym Maillard,Rémi Munos,Alessandro Lazaric,Mohammad Ghavamzadeh Finite-sample Analysis of Bellman Residual Minimization. ACML 2010 db/journals/jmlr/jmlrp13.html#MaillardMLG10 conf/acml/2010 299-314
536 2019-05-29 journals/jmlr/AmitDS07 Yonatan Amit,Ofer Dekel,Yoram Singer A Boosting Algorithm for Label Covering in Multilabel Problems. AISTATS 2007 db/journals/jmlr/jmlrp2.html#AmitDS07 conf/aistats/2007 27-34
537 2019-05-29 journals/jmlr/TarlowAZ12 Daniel Tarlow,Ryan Prescott Adams,Richard S. Zemel Randomized Optimum Models for Structured Prediction. AISTATS 2012 db/journals/jmlr/jmlrp22.html#TarlowAZ12 conf/aistats/2012 1221-1229
538 2019-05-29 journals/jmlr/BaldassarreMAP12 Luca Baldassarre,Jean Morales,Andreas Argyriou,Massimiliano Pontil A General Framework for Structured Sparsity via Proximal Optimization. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BaldassarreMAP12 conf/aistats/2012 82-90
539 2019-05-29 journals/jmlr/PrabhakaranMBR12 Sandhya Prabhakaran,Karin J. Metzner,Alexander Böhm 0003,Volker Roth 0001 Recovering Networks from Distance Data. ACML 2012 db/journals/jmlr/jmlrp25.html#PrabhakaranMBR12 conf/acml/2012 349-364
540 2019-05-29 journals/jmlr/GivoniF09 Inmar E. Givoni,Brendan J. Frey Semi-Supervised Affinity Propagation with Instance-Level Constraints. AISTATS 2009 db/journals/jmlr/jmlrp5.html#GivoniF09 conf/aistats/2009 161-168
541 2019-05-29 journals/jmlr/NicolMP12 Olivier Nicol,Jérémie Mary,Philippe Preux ICML Exploration & Exploitation Challenge: Keep it simple! ICML On-line Trading of Exploration and Exploitation 2012 db/journals/jmlr/jmlrp26.html#NicolMP12 conf/icml/2011otee 62-85
542 2019-05-29 journals/jmlr/SalperwyckU12 Christophe Salperwyck,Tanguy Urvoy Stumping along a Summary for Exploration & Exploitation Challenge 2011. ICML On-line Trading of Exploration and Exploitation 2012 db/journals/jmlr/jmlrp26.html#SalperwyckU12 conf/icml/2011otee 86-97
543 2019-05-29 journals/jmlr/SeegerB12 Matthias W. Seeger,Guillaume Bouchard Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SeegerB12 conf/aistats/2012 1012-1018
544 2019-05-29 journals/jmlr/LinF12 Dahua Lin,John W. Fisher III Efficient Sampling from Combinatorial Space via Bridging. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LinF12 conf/aistats/2012 694-702
545 2019-05-29 journals/jmlr/AhmedHTESX11 Amr Ahmed,Qirong Ho,Choon Hui Teo,Jacob Eisenstein,Alexander J. Smola,Eric P. Xing Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. AISTATS 2011 db/journals/jmlr/jmlrp15.html#AhmedHTESX11 conf/aistats/2011 101-109
546 2019-05-29 journals/jmlr/Abbasi-YadkoriS11 Yasin Abbasi-Yadkori,Csaba Szepesvári Regret Bounds for the Adaptive Control of Linear Quadratic Systems. COLT 2011 db/journals/jmlr/jmlrp19.html#Abbasi-YadkoriS11 conf/colt/2011 1-26
547 2019-05-29 journals/jmlr/GorodetskyS10 Vladimir Gorodetsky,Vladimir Samoilov Feature Extraction for Machine Learning: Logic-Probabilistic Approach. FSDM 2010 db/journals/jmlr/jmlrp10.html#GorodetskyS10 conf/pakdd/2010fsdm 55-65
548 2019-05-29 journals/jmlr/DoshiMGT09 Finale Doshi,Kurt Miller,Jurgen Van Gael,Yee Whye Teh Variational Inference for the Indian Buffet Process. AISTATS 2009 db/journals/jmlr/jmlrp5.html#DoshiMGT09 conf/aistats/2009 137-144
549 2019-05-29 journals/jmlr/WingateSG11 David Wingate,Andreas Stuhlmüller,Noah D. Goodman Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation. AISTATS 2011 db/journals/jmlr/jmlrp15.html#WingateSG11 conf/aistats/2011 770-778
550 2019-05-29 journals/jmlr/GulinKP11 Andrey Gulin,Igor Kuralenok,Dmitry Pavlov Winning The Transfer Learning Track of Yahoo!'s Learning To Rank Challenge with YetiRank. Yahoo! Learning to Rank Challenge 2011 db/journals/jmlr/jmlrp14.html#GulinKP11 conf/icml/2010ltr 63-76
551 2019-05-29 journals/jmlr/SpitkovskyAJ12 Valentin I. Spitkovsky,Hiyan Alshawi,Daniel Jurafsky Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models. ICGI 2012 db/journals/jmlr/jmlrp21.html#SpitkovskyAJ12 conf/icgi/2012 189-194
552 2019-05-29 journals/jmlr/DhillonFU10 Paramveer S. Dhillon,Dean P. Foster,Lyle H. Ungar Feature Selection using Multiple Streams. AISTATS 2010 db/journals/jmlr/jmlrp9.html#DhillonFU10 conf/aistats/2010 153-160
553 2019-05-29 journals/jmlr/Chawla10 Sanjay Chawla Feature Selection, Association Rules Network and Theory Building. FSDM 2010 db/journals/jmlr/jmlrp10.html#Chawla10 conf/pakdd/2010fsdm 14-21
554 2019-05-29 journals/jmlr/ChiangYLMLJZ12 Chao-Kai Chiang,Tianbao Yang,Chia-Jung Lee,Mehrdad Mahdavi,Chi-Jen Lu,Rong Jin,Shenghuo Zhu Online Optimization with Gradual Variations. COLT 2012 db/journals/jmlr/jmlrp23.html#ChiangYLMLJZ12 conf/colt/2012 6.1-6.20
555 2019-05-29 journals/jmlr/MansinghkaRRT07 Vikash K. Mansinghka,Daniel M. Roy 0001,Ryan Rifkin,Joshua B. Tenenbaum AClass: A simple, online, parallelizable algorithm for probabilistic classification. AISTATS 2007 db/journals/jmlr/jmlrp2.html#MansinghkaRRT07 conf/aistats/2007 315-322
556 2020-04-23 journals/jmlr/BuchmanSMPF12 David Buchman,Mark Schmidt 0001,Shakir Mohamed,David Poole 0001,Nando de Freitas On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BuchmanSMPF12 conf/aistats/2012 173-181
557 2019-05-29 journals/jmlr/JohansonB09 Michael Johanson,Michael H. Bowling Data Biased Robust Counter Strategies. AISTATS 2009 db/journals/jmlr/jmlrp5.html#JohansonB09 conf/aistats/2009 264-271
558 2019-05-29 journals/jmlr/BoS09 Liefeng Bo,Cristian Sminchisescu Supervised Spectral Latent Variable Models. AISTATS 2009 db/journals/jmlr/jmlrp5.html#BoS09 conf/aistats/2009 33-40
559 2019-05-29 journals/jmlr/Taddy12 Matt Taddy On Estimation and Selection for Topic Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Taddy12 conf/aistats/2012 1184-1193
560 2019-05-29 journals/jmlr/BubeckCK12 Sébastien Bubeck,Nicolò Cesa-Bianchi,Sham M. Kakade Towards Minimax Policies for Online Linear Optimization with Bandit Feedback. COLT 2012 db/journals/jmlr/jmlrp23.html#BubeckCK12 conf/colt/2012 41.1-41.14
561 2019-05-29 journals/jmlr/FouldsNSI11 James R. Foulds,Nicholas Navaroli,Padhraic Smyth,Alexander T. Ihler Revisiting MAP Estimation, Message Passing and Perfect Graphs. AISTATS 2011 db/journals/jmlr/jmlrp15.html#FouldsNSI11 conf/aistats/2011 278-286
562 2019-05-29 journals/jmlr/ChehreghaniBB12 Morteza Haghir Chehreghani,Alberto Giovanni Busetto,Joachim M. Buhmann Information Theoretic Model Validation for Spectral Clustering. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ChehreghaniBB12 conf/aistats/2012 495-503
563 2019-05-29 journals/jmlr/FanB12 Wentao Fan,Nizar Bouguila Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection. ACML 2012 db/journals/jmlr/jmlrp25.html#FanB12 conf/acml/2012 113-128
564 2019-05-29 journals/jmlr/Pearl10 Judea Pearl Causal Inference. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#Pearl10 conf/nips/2008coa 39-58
565 2019-05-29 journals/jmlr/Jenkins10 Jerry Jenkins SIGNET: Boolean Rile Deetermination for Abscisic Acid Signaling. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#Jenkins10 conf/nips/2008coa 215-224
566 2019-05-29 journals/jmlr/KanamoriTS12 Takafumi Kanamori,Akiko Takeda,Taiji Suzuki A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems. COLT 2012 db/journals/jmlr/jmlrp23.html#KanamoriTS12 conf/colt/2012 29.1-29.23
567 2019-05-29 journals/jmlr/ErkanA10 Ayse Erkan,Yasemin Altun Semi-Supervised Learning via Generalized Maximum Entropy. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ErkanA10 conf/aistats/2010 209-216
568 2019-05-29 journals/jmlr/RuttorO10 Andreas Ruttor,Manfred Opper Approximate parameter inference in a stochastic reaction-diffusion model. AISTATS 2010 db/journals/jmlr/jmlrp9.html#RuttorO10 conf/aistats/2010 669-676
569 2019-05-29 journals/jmlr/AlamgirGA10 Morteza Alamgir,Moritz Grosse-Wentrup,Yasemin Altun Multitask Learning for Brain-Computer Interfaces. AISTATS 2010 db/journals/jmlr/jmlrp9.html#AlamgirGA10 conf/aistats/2010 17-24
570 2019-05-29 journals/jmlr/Lu07 Zhengdong Lu Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Lu07 conf/aistats/2007 299-306
571 2019-05-29 journals/jmlr/StowellP10 Dan Stowell,Mark D. Plumbley Cross-associating unlabelled timbre distributions to create expressive musical mappings. WAPA 2010 db/journals/jmlr/jmlrp11.html#StowellP10 conf/wapa/2010 28-35
572 2019-05-29 journals/jmlr/StajnerM10 Tadej Stajner,Dunja Mladenic Modeling Knowledge Worker Activity. WAPA 2010 db/journals/jmlr/jmlrp11.html#StajnerM10 conf/wapa/2010 127-133
573 2019-05-29 journals/jmlr/MartensS10 James Martens,Ilya Sutskever Parallelizable Sampling of Markov Random Fields. AISTATS 2010 db/journals/jmlr/jmlrp9.html#MartensS10 conf/aistats/2010 517-524
574 2019-05-29 journals/jmlr/ServedioTT12 Rocco A. Servedio,Li-Yang Tan,Justin Thaler Attribute-Efficient Learning and Weight-Degree Tradeoffs for Polynomial Threshold Functions. COLT 2012 db/journals/jmlr/jmlrp23.html#ServedioTT12 conf/colt/2012 14.1-14.19
575 2019-05-29 journals/jmlr/SudhaharFC11 Saatviga Sudhahar,Roberto Franzosi,Nello Cristianini Automating Quantitative Narrative Analysis of News Data. WAPA 2011 db/journals/jmlr/jmlrp17.html#SudhaharFC11 conf/wapa/2011 63-71
576 2019-05-29 journals/jmlr/PedersenLD07 Kim Steenstrup Pedersen,Marco Loog,Pieter van Dorst Salient Point and Scale Detection by Minimum Likelihood. Gaussian Processes in Practice 2007 db/journals/jmlr/jmlrp1.html#PedersenLD07 journals/jmlr/2006gpp 59-72
577 2019-05-29 journals/jmlr/JahrerT12 Michael Jahrer,Andreas Töscher Collaborative Filtering Ensemble. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#JahrerT12 conf/kdd/2011kddcup 61-74
578 2019-05-29 journals/jmlr/HellerG07 Katherine A. Heller,Zoubin Ghahramani A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. AISTATS 2007 db/journals/jmlr/jmlrp2.html#HellerG07 conf/aistats/2007 187-194
579 2019-05-29 journals/jmlr/Titsias09 Michalis K. Titsias Variational Learning of Inducing Variables in Sparse Gaussian Processes. AISTATS 2009 db/journals/jmlr/jmlrp5.html#Titsias09 conf/aistats/2009 567-574
580 2019-05-29 journals/jmlr/StatnikovA10 Alexander R. Statnikov,Constantin F. Aliferis TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#StatnikovA10 conf/nips/2008coa 249-256
581 2019-05-29 journals/jmlr/TaghipourFDB12 Nima Taghipour,Daan Fierens,Jesse Davis,Hendrik Blockeel Lifted Variable Elimination with Arbitrary Constraints. AISTATS 2012 db/journals/jmlr/jmlrp22.html#TaghipourFDB12 conf/aistats/2012 1194-1202
582 2019-05-29 journals/jmlr/Littman12 Michael L. Littman Inducing Partially Observable Markov Decision Processes. ICGI 2012 db/journals/jmlr/jmlrp21.html#Littman12 conf/icgi/2012 145-148
583 2019-05-29 journals/jmlr/Dasgupta12 Sanjoy Dasgupta Consistency of Nearest Neighbor Classification under Selective Sampling. COLT 2012 db/journals/jmlr/jmlrp23.html#Dasgupta12 conf/colt/2012 18.1-18.15
584 2019-05-29 journals/jmlr/SinghNC10 Aarti Singh,Robert D. Nowak,A. Robert Calderbank Detecting Weak but Hierarchically-Structured Patterns in Networks. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SinghNC10 conf/aistats/2010 749-756
585 2019-05-29 journals/jmlr/VirtanenKKK12 Seppo Virtanen,Arto Klami,Suleiman A. Khan,Samuel Kaski Bayesian Group Factor Analysis. AISTATS 2012 db/journals/jmlr/jmlrp22.html#VirtanenKKK12 conf/aistats/2012 1269-1277
586 2019-05-29 journals/jmlr/PletscherK12 Patrick Pletscher,Pushmeet Kohli Learning Low-order Models for Enforcing High-order Statistics. AISTATS 2012 db/journals/jmlr/jmlrp22.html#PletscherK12 conf/aistats/2012 886-894
587 2019-05-29 journals/jmlr/MooijJ10 Joris M. Mooij,Dominik Janzing Distinguishing between cause and effect. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#MooijJ10 conf/nips/2008coa 147-156
588 2019-05-29 journals/jmlr/HelmboldL12 David P. Helmbold,Philip M. Long New Bounds for Learning Intervals with Implications for Semi-Supervised Learning. COLT 2012 db/journals/jmlr/jmlrp23.html#HelmboldL12 conf/colt/2012 30.1-30.15
589 2019-05-29 journals/jmlr/DekelS10 Ofer Dekel,Ohad Shamir Multiclass-Multilabel Classification with More Classes than Examples. AISTATS 2010 db/journals/jmlr/jmlrp9.html#DekelS10 conf/aistats/2010 137-144
590 2019-05-29 journals/jmlr/BatraNK11 Dhruv Batra,Sebastian Nowozin,Pushmeet Kohli Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BatraNK11 conf/aistats/2011 146-154
591 2019-05-29 journals/jmlr/SunTLS12 Min Sun,Murali Telaprolu,Honglak Lee,Silvio Savarese Efficient and Exact MAP-MRF Inference using Branch and Bound. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SunTLS12 conf/aistats/2012 1134-1142
592 2019-05-29 journals/jmlr/Hyvarinen10 Aapo Hyvärinen Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models. ACML 2010 db/journals/jmlr/jmlrp13.html#Hyvarinen10 conf/acml/2010 1-16
593 2019-05-29 journals/jmlr/DoppaSNODFTI11 Janardhan Rao Doppa,Shahed Sorower,Mohammad NasrEsfahani,John Walker Orr,Thomas G. Dietterich,Xiaoli Z. Fern,Prasad Tadepalli,Jed Irvine Learning Rules from Incomplete Examples via Implicit Mention Models. ACML 2011 db/journals/jmlr/jmlrp20.html#DoppaSNODFTI11 conf/acml/2011 197-212
594 2019-05-29 journals/jmlr/GordonD11 Geoffrey J. Gordon,David B. Dunson Preface. AISTATS 2011 db/journals/jmlr/jmlrp15.html#GordonD11 conf/aistats/2011 1-2
595 2019-05-29 journals/jmlr/HsuL11 Chun-Nan Hsu,Wee Sun Lee Preface. ACML 2011 db/journals/jmlr/jmlrp20.html#HsuL11 conf/acml/2011
596 2019-05-29 journals/jmlr/SilvaG09b Ricardo Bezerra de Andrade e Silva,Zoubin Ghahramani Factorial Mixture of Gaussians and the Marginal Independence Model. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SilvaG09b conf/aistats/2009 520-527
597 2020-09-02 journals/jmlr/GuyonCDL11 Isabelle Guyon,Gavin C. Cawley,Gideon Dror,Vincent Lemaire 0001 Results of the Active Learning Challenge. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#GuyonCDL11 conf/aistats/2010w 19-45
598 2019-05-29 journals/jmlr/FeraudU12 Raphaël Féraud,Tanguy Urvoy A stochastic bandit algorithm for scratch games. ACML 2012 db/journals/jmlr/jmlrp25.html#FeraudU12 conf/acml/2012 129-143
599 2019-05-29 journals/jmlr/LewiBP07 Jeremy Lewi,Robert J. Butera,Liam Paninski Efficient active learning with generalized linear models. AISTATS 2007 db/journals/jmlr/jmlrp2.html#LewiBP07 conf/aistats/2007 267-274
600 2019-05-29 journals/jmlr/LiFDSW09 Fuxin Li,Yun-Shan Fu,Yu-Hong Dai,Cristian Sminchisescu,Jue Wang Kernel Learning by Unconstrained Optimization. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LiFDSW09 conf/aistats/2009 328-335
601 2019-05-29 journals/jmlr/IshihataS11 Masakazu Ishihata,Taisuke Sato Bayesian inference for statistical abduction using Markov chain Monte Carlo. ACML 2011 db/journals/jmlr/jmlrp20.html#IshihataS11 conf/acml/2011 81-96
602 2019-05-29 journals/jmlr/XuI11 Tianbing Xu,Alexander T. Ihler Multicore Gibbs Sampling in Dense, Unstructured Graphs. AISTATS 2011 db/journals/jmlr/jmlrp15.html#XuI11 conf/aistats/2011 798-806
603 2019-05-29 journals/jmlr/WangJV10 Shijun Wang,Rong Jin,Hamed Valizadegan A Potential-based Framework for Online Multi-class Learning with Partial Feedback. AISTATS 2010 db/journals/jmlr/jmlrp9.html#WangJV10 conf/aistats/2010 900-907
604 2019-05-29 journals/jmlr/LorbertR10 Alexander Lorbert,Peter J. Ramadge Descent Methods for Tuning Parameter Refinement. AISTATS 2010 db/journals/jmlr/jmlrp9.html#LorbertR10 conf/aistats/2010 469-476
605 2019-05-29 journals/jmlr/ThanHNK12 Khoat Than,Tu Bao Ho,Duy Khuong Nguyen,Pham Ngoc Khanh Supervised dimension reduction with topic models. ACML 2012 db/journals/jmlr/jmlrp25.html#ThanHNK12 conf/acml/2012 395-410
606 2019-05-29 journals/jmlr/CourS07 Timothée Cour,Jianbo Shi Solving Markov Random Fields with Spectral Relaxation. AISTATS 2007 db/journals/jmlr/jmlrp2.html#CourS07 conf/aistats/2007 75-82
607 2019-05-29 journals/jmlr/MansinghkaRJT09 Vikash K. Mansinghka,Daniel M. Roy 0001,Eric Jonas,Joshua B. Tenenbaum Exact and Approximate Sampling by Systematic Stochastic Search. AISTATS 2009 db/journals/jmlr/jmlrp5.html#MansinghkaRJT09 conf/aistats/2009 400-407
608 2019-05-29 journals/jmlr/Cawley08 Gavin C. Cawley Causal and Non-Causal Feature Selection for Ridge Regression. WCCI Causation and Prediction Challenge 2008 db/journals/jmlr/jmlrp3.html#Cawley08 conf/wcci/2008cpc 107-128
609 2019-05-29 journals/jmlr/ParkC10 Sunho Park,Seungjin Choi Hierarchical Gaussian Process Regression. ACML 2010 db/journals/jmlr/jmlrp13.html#ParkC10 conf/acml/2010 95-110
610 2019-05-29 journals/jmlr/GrunwaldJWS11 Peter Grünwald,John Smith Jones,Jane de Winter,Élouise Smith Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity. COLT 2011 db/journals/jmlr/jmlrp19.html#GrunwaldJWS11 conf/colt/2011 397-420
611 2019-05-29 journals/jmlr/LiT10 Jun Li 0010,Dacheng Tao Simple Exponential Family PCA. AISTATS 2010 db/journals/jmlr/jmlrp9.html#LiT10 conf/aistats/2010 453-460
612 2019-05-29 journals/jmlr/Hulden12 Mans Hulden Treba: Efficient Numerically Stable EM for PFA. ICGI 2012 db/journals/jmlr/jmlrp21.html#Hulden12 conf/icgi/2012 249-253
613 2019-05-29 journals/jmlr/SugiyamaY10a Mahito Sugiyama,Akihiro Yamamoto The Coding Divergence for Measuring the Complexity of Separating Two Sets. ACML 2010 db/journals/jmlr/jmlrp13.html#SugiyamaY10a conf/acml/2010 127-143
614 2019-05-29 journals/jmlr/HedayatiB12 Fares Hedayati,Peter L. Bartlett Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior. AISTATS 2012 db/journals/jmlr/jmlrp22.html#HedayatiB12 conf/aistats/2012 504-510
615 2019-05-29 journals/jmlr/GuyonACEPSS08 Isabelle Guyon,Constantin F. Aliferis,Gregory F. Cooper,André Elisseeff,Jean-Philippe Pellet,Peter Spirtes,Alexander R. Statnikov Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge 2008 db/journals/jmlr/jmlrp3.html#GuyonACEPSS08 conf/wcci/2008cpc 1-33
616 2019-05-29 journals/jmlr/HellerTG09 Katherine A. Heller,Yee Whye Teh,Dilan Görür Infinite Hierarchical Hidden Markov Models. AISTATS 2009 db/journals/jmlr/jmlrp5.html#HellerTG09 conf/aistats/2009 224-231
617 2019-05-29 journals/jmlr/BalleCG12 Borja Balle,Jorge Castro,Ricard Gavaldà Bootstrapping and Learning PDFA in Data Streams. ICGI 2012 db/journals/jmlr/jmlrp21.html#BalleCG12 conf/icgi/2012 34-48
618 2019-05-29 journals/jmlr/FurmstonB10 Thomas Furmston,David Barber Variational methods for Reinforcement Learning. AISTATS 2010 db/journals/jmlr/jmlrp9.html#FurmstonB10 conf/aistats/2010 241-248
619 2019-05-29 journals/jmlr/ThibauxJ07 Romain Thibaux,Michael I. Jordan Hierarchical Beta Processes and the Indian Buffet Process. AISTATS 2007 db/journals/jmlr/jmlrp2.html#ThibauxJ07 conf/aistats/2007 564-571
620 2019-05-29 journals/jmlr/ZhuangTH11a Jinfeng Zhuang,Ivor W. Tsang,Steven C. H. Hoi Two-Layer Multiple Kernel Learning. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZhuangTH11a conf/aistats/2011 909-917
621 2019-05-29 journals/jmlr/ZhouWYG10 You Zhou 0001,Changzhang Wang,Jianxin Yin,Zhi Geng Discover Local Causal Network around a Target to a Given Depth. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#ZhouWYG10 conf/nips/2008coa 191-202
622 2019-05-29 journals/jmlr/ZhengCLYY12 Zhao Zheng,Tianqi Chen,Nathan Nan Liu,Qiang Yang 0001,Yong Yu 0001 Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#ZhengCLYY12 conf/kdd/2011kddcup 75-97
623 2019-05-29 journals/jmlr/LiuZ09 Han Liu,Jian Zhang 0003 Estimation Consistency of the Group Lasso and its Applications. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LiuZ09 conf/aistats/2009 376-383
624 2019-05-29 journals/jmlr/PeltonenK11 Jaakko Peltonen,Samuel Kaski Generative Modeling for Maximizing Precision and Recall in Information Visualization. AISTATS 2011 db/journals/jmlr/jmlrp15.html#PeltonenK11 conf/aistats/2011 579-587
625 2019-05-29 journals/jmlr/NolteZKPM10 Guido Nolte,Andreas Ziehe,Nicole Krämer 0002,Florin Popescu,Klaus-Robert Müller Comparison of Granger Causality and Phase Slope Index. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#NolteZKPM10 conf/nips/2008coa 267-276
626 2019-05-29 journals/jmlr/KawajiriSFS12 Ryoma Kawajiri,Masamichi Shimosaka,Rui Fukui,Tomomasa Sato Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation. ACML 2012 db/journals/jmlr/jmlrp25.html#KawajiriSFS12 conf/acml/2012 191-204
627 2019-05-29 journals/jmlr/AzarGK11 Mohammad Gheshlaghi Azar,Vicenç Gómez,Bert Kappen Dynamic Policy Programming with Function Approximation. AISTATS 2011 db/journals/jmlr/jmlrp15.html#AzarGK11 conf/aistats/2011 119-127
628 2019-05-29 journals/jmlr/ChenLC12 Xi Chen 0010,Han Liu,Jaime G. Carbonell Structured Sparse Canonical Correlation Analysis. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ChenLC12 conf/aistats/2012 199-207
629 2019-05-29 journals/jmlr/LiangZS10 Chunquan Liang,Yang Zhang,Qun Song Decision Tree for Dynamic and Uncertain Data Streams. ACML 2010 db/journals/jmlr/jmlrp13.html#LiangZS10 conf/acml/2010 209-224
630 2019-05-29 journals/jmlr/GeurtsL11 Pierre Geurts,Gilles Louppe Learning to rank with extremely randomized trees. Yahoo! Learning to Rank Challenge 2011 db/journals/jmlr/jmlrp14.html#GeurtsL11 conf/icml/2010ltr 49-61
631 2020-05-19 journals/jmlr/TormaGS10 Péter Torma,András György 0001,Csaba Szepesvári A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TormaGS10 conf/aistats/2010 852-859
632 2019-05-29 journals/jmlr/ZhaoL12 Tuo Zhao,Han Liu 0001 Sparse Additive Machine. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhaoL12 conf/aistats/2012 1435-1443
633 2019-05-29 journals/jmlr/NguyenT12 Minh Hoai Nguyen,Fernando De la Torre Maximum Margin Temporal Clustering. AISTATS 2012 db/journals/jmlr/jmlrp22.html#NguyenT12 conf/aistats/2012 520-528
634 2019-05-29 journals/jmlr/BordesGWB12 Antoine Bordes,Xavier Glorot,Jason Weston,Yoshua Bengio Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BordesGWB12 conf/aistats/2012 127-135
635 2019-05-29 journals/jmlr/Guerif08 Sébastien Guérif Unsupervised Variable Selection: when random rankings sound as irrelevancy. FSDM 2008 db/journals/jmlr/jmlrp4.html#Guerif08 conf/pkdd/2008fsdm 163-177
636 2019-05-29 journals/jmlr/SugiyamaTSKHO10 Masashi Sugiyama,Ichiro Takeuchi,Taiji Suzuki,Takafumi Kanamori,Hirotaka Hachiya,Daisuke Okanohara Conditional Density Estimation via Least-Squares Density Ratio Estimation. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SugiyamaTSKHO10 conf/aistats/2010 781-788
637 2019-05-29 journals/jmlr/Shin11 Kilho Shin Mapping kernels for infinite mapping systems. ACML 2011 db/journals/jmlr/jmlrp20.html#Shin11 conf/acml/2011 367-382
638 2019-05-29 journals/jmlr/AbernethyM11 Jacob D. Abernethy,Shie Mannor Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011 db/journals/jmlr/jmlrp19.html#AbernethyM11 conf/colt/2011 809-812
639 2019-05-29 journals/jmlr/ChoromanskaM12 Anna Choromanska,Claire Monteleoni Online Clustering with Experts. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ChoromanskaM12 conf/aistats/2012 227-235
640 2019-05-29 journals/jmlr/UmekKMEGCPZ10 Lan Umek,Petra Kaferle,Mojca Mattiazzi,Ales Erjavec,Crtomir Gorup,Tomaz Curk,Uros Petrovic,Blaz Zupan A Subgroup Discovery Approach for Relating Chemical Structure and Phenotype Data in Chemical Genomics. MLSB 2010 db/journals/jmlr/jmlrp8.html#UmekKMEGCPZ10 conf/mlsb/2009 136-144
641 2019-05-29 journals/jmlr/SaligramaZ12 Venkatesh Saligrama,Manqi Zhao Local Anomaly Detection. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SaligramaZ12 conf/aistats/2012 969-983
642 2019-05-29 journals/jmlr/SongGBLG11 Le Song,Arthur Gretton,Danny Bickson,Yucheng Low,Carlos Guestrin Kernel Belief Propagation. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SongGBLG11 conf/aistats/2011 707-715
643 2019-05-29 journals/jmlr/AuerHKKKLLPS10 Peter Auer,Zakria Hussain,Samuel Kaski,Arto Klami,Jussi Kujala,Jorma Laaksonen,Alex Po Leung,Kitsuchart Pasupa,John Shawe-Taylor Pinview: Implicit Feedback in Content-Based Image Retrieval. WAPA 2010 db/journals/jmlr/jmlrp11.html#AuerHKKKLLPS10 conf/wapa/2010 51-57
644 2019-05-29 journals/jmlr/ErikssonDSN11 Brian Eriksson,Gautam Dasarathy,Aarti Singh,Robert D. Nowak Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ErikssonDSN11 conf/aistats/2011 260-268
645 2019-05-29 journals/jmlr/HayashiTTK12 Kohei Hayashi,Takashi Takenouchi,Ryota Tomioka,Hisashi Kashima Self-measuring Similarity for Multi-task Gaussian Process. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#HayashiTTK12 conf/icml/2011utl 145-154
646 2019-05-29 journals/jmlr/GrinbergP12 Yuri Grinberg,Doina Precup On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems. AISTATS 2012 db/journals/jmlr/jmlrp22.html#GrinbergP12 conf/aistats/2012 449-457
647 2019-05-29 journals/jmlr/KulisSD09a Brian Kulis,Suvrit Sra,Inderjit S. Dhillon Convex Perturbations for Scalable Semidefinite Programming. AISTATS 2009 db/journals/jmlr/jmlrp5.html#KulisSD09a conf/aistats/2009 296-303
648 2019-05-29 journals/jmlr/LiS11 Dazhuo Li,Patrick Shafto Bayesian Hierarchical Cross-Clustering. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LiS11 conf/aistats/2011 443-451
649 2019-05-29 journals/jmlr/WuS07 Mingrui Wu,Bernhard Schölkopf Transductive Classification via Local Learning Regularization. AISTATS 2007 db/journals/jmlr/jmlrp2.html#WuS07 conf/aistats/2007 628-635
650 2019-05-29 journals/jmlr/HeinzHO12 Jeffrey Heinz,Colin de la Higuera,Tim Oates Preface. ICGI 2012 db/journals/jmlr/jmlrp21.html#HeinzHO12 conf/icgi/2012 1-3
651 2019-05-29 journals/jmlr/GaoZ11 Wei Gao 0008,Zhi-Hua Zhou On the Consistency of Multi-Label Learning. COLT 2011 db/journals/jmlr/jmlrp19.html#GaoZ11 conf/colt/2011 341-358
652 2019-05-29 journals/jmlr/GlowackaDS12 Dorota Glowacka,Louis Dorard,John Shawe-Taylor Preface. ICML On-line Trading of Exploration and Exploitation 2012 db/journals/jmlr/jmlrp26.html#GlowackaDS12 conf/icml/2011otee
653 2019-05-29 journals/jmlr/RangapuramH12 Syama Sundar Rangapuram,Matthias Hein 0001 Constrained 1-Spectral Clustering. AISTATS 2012 db/journals/jmlr/jmlrp22.html#RangapuramH12 conf/aistats/2012 1143-1151
654 2019-05-29 journals/jmlr/AliFBMLC10 Omar Ali,Ilias N. Flaounas,Tijl De Bie,Nick Mosdell,Justin Lewis,Nello Cristianini Automating News Content Analysis: An Application to Gender Bias and Readability. WAPA 2010 db/journals/jmlr/jmlrp11.html#AliFBMLC10 conf/wapa/2010 36-43
655 2019-05-29 journals/jmlr/BradleyG12 Joseph K. Bradley,Carlos Guestrin Sample Complexity of Composite Likelihood. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BradleyG12 conf/aistats/2012 136-160
656 2019-05-29 journals/jmlr/ZhangLS12 Caoxie Zhang,Honglak Lee,Kang G. Shin Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhangLS12 conf/aistats/2012 1398-1406
657 2019-05-29 journals/jmlr/XieLTLKB12 Jianjun Xie,Scott Leishman,Liang Tian,David Lisuk,Seongjoon Koo,Matthias Blume Feature Engineering in User's Music Preference Prediction. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#XieLTLKB12 conf/kdd/2011kddcup 183-197
658 2019-11-15 journals/jmlr/SontagJ09 David A. Sontag,Tommi S. Jaakkola Tree Block Coordinate Descent for MAP in Graphical Models. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SontagJ09 conf/aistats/2009 544-551
659 2019-07-23 journals/jmlr/KakadeSST10 Sham M. Kakade,Ohad Shamir,Karthik Sindharan,Ambuj Tewari Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity. AISTATS 2010 db/journals/jmlr/jmlrp9.html#KakadeSST10 conf/aistats/2010 381-388
660 2019-05-29 journals/jmlr/AgarwalLS11 Deepak Agarwal,Lihong Li 0001,Alexander J. Smola Linear-Time Estimators for Propensity Scores. AISTATS 2011 db/journals/jmlr/jmlrp15.html#AgarwalLS11 conf/aistats/2011 93-100
661 2019-05-29 journals/jmlr/Abbasi-YadkoriPS12 Yasin Abbasi-Yadkori,Dávid Pál,Csaba Szepesvári Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Abbasi-YadkoriPS12 conf/aistats/2012 1-9
662 2019-05-29 journals/jmlr/FletcherHS10 Tristan Fletcher,Zakria Hussain,John Shawe-Taylor Multiple Kernel Learning on the Limit Order Book. WAPA 2010 db/journals/jmlr/jmlrp11.html#FletcherHS10 conf/wapa/2010 167-174
663 2019-05-29 journals/jmlr/VainsencherMB11 Daniel Vainsencher,Shie Mannor,Alfred M. Bruckstein The Sample Complexity of Dictionary Learning. COLT 2011 db/journals/jmlr/jmlrp19.html#VainsencherMB11 conf/colt/2011 773-788
664 2019-05-29 journals/jmlr/CarpentierM12 Alexandra Carpentier,Rémi Munos Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit. AISTATS 2012 db/journals/jmlr/jmlrp22.html#CarpentierM12 conf/aistats/2012 190-198
665 2019-05-29 journals/jmlr/WilliamsonOG10 Sinead Williamson,Peter Orbanz,Zoubin Ghahramani Dependent Indian Buffet Processes. AISTATS 2010 db/journals/jmlr/jmlrp9.html#WilliamsonOG10 conf/aistats/2010 924-931
666 2019-05-29 journals/jmlr/SeegerN11 Matthias W. Seeger,Hannes Nickisch Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SeegerN11 conf/aistats/2011 652-660
667 2019-05-29 journals/jmlr/XiongPSCV11 Liang Xiong,Barnabás Póczos,Jeff G. Schneider,Andrew J. Connolly,Jake VanderPlas Hierarchical Probabilistic Models for Group Anomaly Detection. AISTATS 2011 db/journals/jmlr/jmlrp15.html#XiongPSCV11 conf/aistats/2011 789-797
668 2019-05-29 journals/jmlr/GlobersonR07 Amir Globerson,Sam T. Roweis Visualizing pairwise similarity via semidefinite programming. AISTATS 2007 db/journals/jmlr/jmlrp2.html#GlobersonR07 conf/aistats/2007 139-146
669 2019-05-29 journals/jmlr/Habeck12 Michael Habeck Evaluation of marginal likelihoods via the density of states. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Habeck12 conf/aistats/2012 486-494
670 2019-05-29 journals/jmlr/KiferST12 Daniel Kifer,Adam D. Smith,Abhradeep Thakurta Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression. COLT 2012 db/journals/jmlr/jmlrp23.html#KiferST12 conf/colt/2012 25.1-25.40
671 2019-05-29 journals/jmlr/ZhangWC12 Zhihua Zhang,Dakan Wang,Edward Y. Chang An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhangWC12 conf/aistats/2012 1416-1424
672 2020-04-23 journals/jmlr/YanRFSVBMD10 Yan Yan,Rómer Rosales,Glenn Fung,Mark Schmidt 0001,Gerardo Hermosillo Valadez,Luca Bogoni,Linda Moy,Jennifer G. Dy Modeling annotator expertise: Learning when everybody knows a bit of something. AISTATS 2010 db/journals/jmlr/jmlrp9.html#YanRFSVBMD10 conf/aistats/2010 932-939
673 2020-04-30 journals/jmlr/GonzalezLG09 Joseph Gonzalez 0001,Yucheng Low,Carlos Guestrin Residual Splash for Optimally Parallelizing Belief Propagation. AISTATS 2009 db/journals/jmlr/jmlrp5.html#GonzalezLG09 conf/aistats/2009 177-184
674 2020-05-19 journals/jmlr/NeuGS12 Gergely Neu,András György 0001,Csaba Szepesvári The adversarial stochastic shortest path problem with unknown transition probabilities. AISTATS 2012 db/journals/jmlr/jmlrp22.html#NeuGS12 conf/aistats/2012 805-813
675 2019-05-29 journals/jmlr/AkramHE12 Hasan Ibne Akram,Colin de la Higuera,Claudia Eckert 0001 Actively Learning Probabilistic Subsequential Transducers. ICGI 2012 db/journals/jmlr/jmlrp21.html#AkramHE12 conf/icgi/2012 19-33
676 2019-05-29 journals/jmlr/JSmolaST09 Alexander J. Smola,Le Song,Choon Hui Teo Relative Novelty Detection. AISTATS 2009 db/journals/jmlr/jmlrp5.html#JSmolaST09 conf/aistats/2009 536-543
677 2019-05-29 journals/jmlr/DudikHM12 Miroslav Dudík,Zaïd Harchaoui,Jérôme Malick Lifted coordinate descent for learning with trace-norm regularization. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DudikHM12 conf/aistats/2012 327-336
678 2019-05-29 journals/jmlr/EberhardtHS10 Frederick Eberhardt,Patrik O. Hoyer,Richard Scheines Combining Experiments to Discover Linear Cyclic Models with Latent Variables. AISTATS 2010 db/journals/jmlr/jmlrp9.html#EberhardtHS10 conf/aistats/2010 185-192
679 2019-05-29 journals/jmlr/YangCZ11 Shuang-Hong Yang,Steven P. Crain,Hongyuan Zha Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality. AISTATS 2011 db/journals/jmlr/jmlrp15.html#YangCZ11 conf/aistats/2011 823-831
680 2019-05-29 journals/jmlr/ShibataY12 Chihiro Shibata,Ryo Yoshinaka Marginalizing Out Transition Probabilities for Several Subclasses of PFAs. ICGI 2012 db/journals/jmlr/jmlrp21.html#ShibataY12 conf/icgi/2012 259-263
681 2019-05-29 journals/jmlr/LimA12 Shiau Hong Lim,Peter Auer Autonomous Exploration For Navigating In MDPs. COLT 2012 db/journals/jmlr/jmlrp23.html#LimA12 conf/colt/2012 40.1-40.24
682 2019-05-29 journals/jmlr/AmizadehVH12 Saeed Amizadeh,Hamed Valizadegan,Milos Hauskrecht Factorized Diffusion Map Approximation. AISTATS 2012 db/journals/jmlr/jmlrp22.html#AmizadehVH12 conf/aistats/2012 37-46
683 2019-05-29 journals/jmlr/ShervashidzeVPMB09 Nino Shervashidze,S. V. N. Vishwanathan,Tobias Petri,Kurt Mehlhorn,Karsten M. Borgwardt Efficient graphlet kernels for large graph comparison. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ShervashidzeVPMB09 conf/aistats/2009 488-495
684 2019-05-29 journals/jmlr/ChechetkaG10 Anton Chechetka,Carlos Guestrin Focused Belief Propagation for Query-Specific Inference. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ChechetkaG10 conf/aistats/2010 89-96
685 2021-01-21 journals/jmlr/BlanchardDHKRRSW10 Gilles Blanchard,Thorsten Dickhaus,Niklas Hack,Frank Konietschke,Kornelius Rohmeyer,Jonathan D. Rosenblatt,Marsel Scheer,Wiebke Werft µTOSS - Multiple hypothesis testing in an open software system. WAPA 2010 db/journals/jmlr/jmlrp11.html#BlanchardDHKRRSW10 conf/wapa/2010 12-19
686 2019-05-29 journals/jmlr/GrzegorczykH12 Marco Grzegorczyk,Dirk Husmeier Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters. AISTATS 2012 db/journals/jmlr/jmlrp22.html#GrzegorczykH12 conf/aistats/2012 467-476
687 2019-05-29 journals/jmlr/MatsubaraMM10 Takamitsu Matsubara,Tetsuro Morimura,Jun Morimoto Adaptive Step-size Policy Gradients with Average Reward Metric. ACML 2010 db/journals/jmlr/jmlrp13.html#MatsubaraMM10 conf/acml/2010 285-298
688 2019-06-23 journals/jmlr/ZhangH11 Kun Zhang 0001,Aapo Hyvärinen A General Linear Non-Gaussian State-Space Model. ACML 2011 db/journals/jmlr/jmlrp20.html#ZhangH11 conf/acml/2011 113-128
689 2019-05-29 journals/jmlr/BalcanH12 Maria-Florina Balcan,Steve Hanneke Robust Interactive Learning. COLT 2012 db/journals/jmlr/jmlrp23.html#BalcanH12 conf/colt/2012 20.1-20.34
690 2019-05-29 journals/jmlr/LuPP10 Tyler Lu,Dávid Pál,Martin Pal Contextual Multi-Armed Bandits. AISTATS 2010 db/journals/jmlr/jmlrp9.html#LuPP10 conf/aistats/2010 485-492
691 2019-05-29 journals/jmlr/VanhataloV07 Jarno Vanhatalo,Aki Vehtari Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology. Gaussian Processes in Practice 2007 db/journals/jmlr/jmlrp1.html#VanhataloV07 journals/jmlr/2006gpp 73-89
692 2019-05-29 journals/jmlr/GlorotBB11 Xavier Glorot,Antoine Bordes,Yoshua Bengio Deep Sparse Rectifier Neural Networks. AISTATS 2011 db/journals/jmlr/jmlrp15.html#GlorotBB11 conf/aistats/2011 315-323
693 2019-05-29 journals/jmlr/DietheHHS09 Tom Diethe,Zakria Hussain,David R. Hardoon,John Shawe-Taylor Matching Pursuit Kernel Fisher Discriminant Analysis. AISTATS 2009 db/journals/jmlr/jmlrp5.html#DietheHHS09 conf/aistats/2009 121-128
694 2019-05-29 journals/jmlr/Zhang07 Jiji Zhang Generalized Do-Calculus with Testable Causal Assumptions. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Zhang07 conf/aistats/2007 667-674
695 2019-05-29 journals/jmlr/Corradi10 Fabio Corradi Mass Fatality Incident Identification based on nuclear DNA evidence. AISTATS 2010 db/journals/jmlr/jmlrp9.html#Corradi10 conf/aistats/2010 105-112
696 2019-05-29 journals/jmlr/ZhangY10 Yu Zhang 0006,Dit-Yan Yeung Multi-Task Learning using Generalized t Process. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ZhangY10 conf/aistats/2010 964-971
697 2019-05-29 journals/jmlr/Steinwart11 Ingo Steinwart Adaptive Density Level Set Clustering. COLT 2011 db/journals/jmlr/jmlrp19.html#Steinwart11 conf/colt/2011 703-738
698 2019-05-29 journals/jmlr/SchaffonerAKKW07 Martin Schafföner,Edin Andelic,Marcel Katz,Sven E. Krüger,Andreas Wendemuth Memory-Effcient Orthogonal Least Squares Kernel Density Estimation using Enhanced Empirical Cumulative Distribution Functions. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SchaffonerAKKW07 conf/aistats/2007 428-435
699 2019-05-29 journals/jmlr/McMahanS12 H. Brendan McMahan,Matthew J. Streeter Open Problem: Better Bounds for Online Logistic Regression. COLT 2012 db/journals/jmlr/jmlrp23.html#McMahanS12 conf/colt/2012 44.1-44.3
700 2019-05-29 journals/jmlr/ReidW10a Mark D. Reid,Robert C. Williamson Convexity of Proper Composite Binary Losses. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ReidW10a conf/aistats/2010 637-644
701 2019-05-29 journals/jmlr/SharpR10 Kevin Sharp,Magnus Rattray Dense Message Passing for Sparse Principal Component Analysis. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SharpR10 conf/aistats/2010 725-732
702 2019-05-29 journals/jmlr/AckermanB09 Margareta Ackerman,Shai Ben-David Clusterability: A Theoretical Study. AISTATS 2009 db/journals/jmlr/jmlrp5.html#AckermanB09 conf/aistats/2009 1-8
703 2019-05-29 journals/jmlr/KivinenW12 Jyri J. Kivinen,Christopher K. I. Williams Multiple Texture Boltzmann Machines. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KivinenW12 conf/aistats/2012 638-646
704 2019-05-29 journals/jmlr/KolterJ12 J. Zico Kolter,Tommi S. Jaakkola Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KolterJ12 conf/aistats/2012 1472-1482
705 2019-05-29 journals/jmlr/BubeckS12 Sébastien Bubeck,Aleksandrs Slivkins The Best of Both Worlds: Stochastic and Adversarial Bandits. COLT 2012 db/journals/jmlr/jmlrp23.html#BubeckS12 conf/colt/2012 42.1-42.23
706 2019-05-29 journals/jmlr/CortesMT10 Corinna Cortes,Mehryar Mohri,Ameet Talwalkar On the Impact of Kernel Approximation on Learning Accuracy. AISTATS 2010 db/journals/jmlr/jmlrp9.html#CortesMT10 conf/aistats/2010 113-120
707 2019-05-29 journals/jmlr/ZhaoL08 Zheng Zhao,Huan Liu 0001 Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis. FSDM 2008 db/journals/jmlr/jmlrp4.html#ZhaoL08 conf/pkdd/2008fsdm 36-47
708 2021-01-02 journals/jmlr/ZhangT10 Chao Zhang 0017,Dacheng Tao Risk Bounds for Levy Processes in the PAC-Learning Framework. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ZhangT10 conf/aistats/2010 948-955
709 2019-05-29 journals/jmlr/LiuI11 Qiang Liu 0001,Alexander T. Ihler Learning Scale Free Networks by Reweighted L1 regularization. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LiuI11 conf/aistats/2011 40-48
710 2019-05-29 journals/jmlr/MillerKPGK12 Kevin Miller,M. Pawan Kumar,Benjamin Packer,Danny Goodman,Daphne Koller Max-Margin Min-Entropy Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#MillerKPGK12 conf/aistats/2012 779-787
711 2019-05-29 journals/jmlr/FeldmanK12 Vitaly Feldman,Varun Kanade Computational Bounds on Statistical Query Learning. COLT 2012 db/journals/jmlr/jmlrp23.html#FeldmanK12 conf/colt/2012 16.1-16.22
712 2019-05-29 journals/jmlr/KaelinP10 Fabian Kaelin,Doina Precup A Study of Approximate Inference in Probabilistic Relational Models. ACML 2010 db/journals/jmlr/jmlrp13.html#KaelinP10 conf/acml/2010 315-330
713 2019-05-29 journals/jmlr/KolarX11 Mladen Kolar,Eric P. Xing On Time Varying Undirected Graphs. AISTATS 2011 db/journals/jmlr/jmlrp15.html#KolarX11 conf/aistats/2011 407-415
714 2019-05-29 journals/jmlr/Bengio12 Yoshua Bengio Deep Learning of Representations for Unsupervised and Transfer Learning. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#Bengio12 conf/icml/2011utl 17-36
715 2019-05-29 journals/jmlr/NavaroliDS12 Nicholas Navaroli,Christopher DuBois,Padhraic Smyth Statistical Models for Exploring Individual Email Communication Behavior. ACML 2012 db/journals/jmlr/jmlrp25.html#NavaroliDS12 conf/acml/2012 317-332
716 2019-04-09 journals/jmlr/Kale12 Satyen Kale Commentary on "Online Optimization with Gradual Variations". COLT 2012 db/journals/jmlr/jmlrp23.html#Kale12 conf/colt/2012 6.21-6.24
717 2019-05-29 journals/jmlr/AntalMHSF08 Peter Antal,András Millinghoffer,Gábor Hullám,Csaba Szalai,András Falus A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction. FSDM 2008 db/journals/jmlr/jmlrp4.html#AntalMHSF08 conf/pkdd/2008fsdm 74-89
718 2019-05-29 journals/jmlr/HaufeMNK10 Stefan Haufe,Klaus-Robert Müller,Guido Nolte,Nicole Krämer 0002 Sparse Causal Discovery in Multivariate Time Series. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#HaufeMNK10 conf/nips/2008coa 97-106
719 2019-05-29 journals/jmlr/SugiyamaY10 Masashi Sugiyama,Qiang Yang 0001 Preface. ACML 2010 db/journals/jmlr/jmlrp13.html#SugiyamaY10 conf/acml/2010 i-xiv
720 2019-05-29 journals/jmlr/AdamsWG10 Ryan Prescott Adams,Hanna M. Wallach,Zoubin Ghahramani Learning the Structure of Deep Sparse Graphical Models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#AdamsWG10 conf/aistats/2010 1-8
721 2019-05-29 journals/jmlr/TarlowGZ10 Daniel Tarlow,Inmar E. Givoni,Richard S. Zemel HOP-MAP: Efficient Message Passing with High Order Potentials. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TarlowGZ10 conf/aistats/2010 812-819
722 2019-05-29 journals/jmlr/RigolletT11 Philippe Rigollet,Xin Tong Neyman-Pearson classification under a strict constraint. COLT 2011 db/journals/jmlr/jmlrp19.html#RigolletT11 conf/colt/2011 595-614
723 2019-05-29 journals/jmlr/GuhaKHC09 Saptarshi Guha,Paul Kidwell,Ryan Hafen,William S. Cleveland Visualization Databases for the Analysis of Large Complex Datasets. AISTATS 2009 db/journals/jmlr/jmlrp5.html#GuhaKHC09 conf/aistats/2009 193-200
724 2019-05-29 journals/jmlr/CouetouxMBDST11 Adrien Couëtoux,Mario Milone,Mátyás Brendel,Hassen Doghmen,Michèle Sebag,Olivier Teytaud Continuous RAVE. ACML 2011 db/journals/jmlr/jmlrp20.html#CouetouxMBDST11 conf/acml/2011 19-31
725 2019-05-29 journals/jmlr/HeD11 Jing He,Decheng Dai Summarization of Yes/No Questions Using a Feature Function Model. ACML 2011 db/journals/jmlr/jmlrp20.html#HeD11 conf/acml/2011 351-366
726 2019-05-29 journals/jmlr/GehlerC07 Peter V. Gehler,Olivier Chapelle Deterministic Annealing for Multiple-Instance Learning. AISTATS 2007 db/journals/jmlr/jmlrp2.html#GehlerC07 conf/aistats/2007 123-130
727 2019-05-29 journals/jmlr/RaoRN12 Nikhil S. Rao,Ben Recht,Robert D. Nowak Universal Measurement Bounds for Structured Sparse Signal Recovery. AISTATS 2012 db/journals/jmlr/jmlrp22.html#RaoRN12 conf/aistats/2012 942-950
728 2019-05-29 journals/jmlr/Cesa-BianchiGVZ12 Nicolò Cesa-Bianchi,Claudio Gentile,Fabio Vitale,Giovanni Zappella A Correlation Clustering Approach to Link Classification in Signed Networks. COLT 2012 db/journals/jmlr/jmlrp23.html#Cesa-BianchiGVZ12 conf/colt/2012 34.1-34.20
729 2019-05-29 journals/jmlr/YangW12 Hao Yang,Jianxin Wu Practical Large Scale Classification with Additive Kernels. ACML 2012 db/journals/jmlr/jmlrp25.html#YangW12 conf/acml/2012 523-538
730 2019-05-29 journals/jmlr/AcharyaHGA12 Ayan Acharya,Eduardo R. Hruschka,Joydeep Ghosh,Sreangsu Acharyya Transfer Learning with Cluster Ensembles. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#AcharyaHGA12 conf/icml/2011utl 123-132
731 2019-05-29 journals/jmlr/IsikAC10 Zerrin Isik,Volkan Atalay,Rengül Çetin-Atalay Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data. MLSB 2010 db/journals/jmlr/jmlrp8.html#IsikAC10 conf/mlsb/2009 44-54
732 2019-05-29 journals/jmlr/Agarwal11 Deepak Agarwal Discussion of "Learning Scale Free Networks by Reweighted L1 regularization". AISTATS 2011 db/journals/jmlr/jmlrp15.html#Agarwal11 conf/aistats/2011 49-50
733 2019-05-29 journals/jmlr/Duchi12 John C. Duchi Commentary on "Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences". COLT 2012 db/journals/jmlr/jmlrp23.html#Duchi12 conf/colt/2012 11.25-11.27
734 2019-05-29 journals/jmlr/Conitzer11 Vincent Conitzer Discussion of "A conditional game for comparing approximations". AISTATS 2011 db/journals/jmlr/jmlrp15.html#Conitzer11 conf/aistats/2011 72-73
735 2019-05-29 journals/jmlr/LoCCCFHKKLLWYLLL09 Hung-Yi Lo,Kai-Wei Chang,Shang-Tse Chen,Tsung-Hsien Chiang,Chun-Sung Ferng,Cho-Jui Hsieh,Yi-Kuang Ko,Tsung-Ting Kuo,Hung-Che Lai,Ken-Yi Lin,Chia-Hsuan Wang,Hsiang-Fu Yu,Chih-Jen Lin,Hsuan-Tien Lin,Shou-De Lin An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#LoCCCFHKKLLWYLLL09 conf/kdd/2009kddcup 57-64
736 2019-05-29 journals/jmlr/JaiantilalG10 Abhishek Jaiantilal,Gregory Z. Grudic Increasing Feature Selection Accuracy for L1 Regularized Linear Models. FSDM 2010 db/journals/jmlr/jmlrp10.html#JaiantilalG10 conf/pakdd/2010fsdm 86-96
737 2019-05-29 journals/jmlr/DanielNP12 Christian Daniel,Gerhard Neumann,Jan Peters 0001 Hierarchical Relative Entropy Policy Search. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DanielNP12 conf/aistats/2012 273-281
738 2019-05-29 journals/jmlr/FreerR10 Cameron E. Freer,Daniel M. Roy 0001 Posterior distributions are computable from predictive distributions. AISTATS 2010 db/journals/jmlr/jmlrp9.html#FreerR10 conf/aistats/2010 233-240
739 2019-05-29 journals/jmlr/YoonWM10 Ji Won Yoon,Simon P. Wilson 0001,K. Hun Mok A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra. AISTATS 2010 db/journals/jmlr/jmlrp9.html#YoonWM10 conf/aistats/2010 940-947
740 2019-05-29 journals/jmlr/TelgarskyV10 Matus Telgarsky,Andrea Vattani Hartigan's Method: k-means Clustering without Voronoi. AISTATS 2010 db/journals/jmlr/jmlrp9.html#TelgarskyV10 conf/aistats/2010 820-827
741 2019-05-29 journals/jmlr/BogojeskaSZKIRL12 Jasmina Bogojeska,Daniel Stöckel,Maurizio Zazzi,Rolf Kaiser,Francesca Incardona,Michal Rosen-Zvi,Thomas Lengauer History-alignment models for bias-aware prediction of virological response to HIV combination therapy. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BogojeskaSZKIRL12 conf/aistats/2012 118-126
742 2019-05-29 journals/jmlr/LuckeH12 Jörg Lücke,Marc Henniges Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#LuckeH12 conf/aistats/2012 731-740
743 2019-05-29 journals/jmlr/ZhangLWM12 Kai Zhang 0001,Liang Lan,Zhuang Wang,Fabian Moerchen Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhangLWM12 conf/aistats/2012 1425-1434
744 2019-05-29 journals/jmlr/OlssonS10 Jimmy Olsson,Jonas Ströjby Approximation of hidden Markov models by mixtures of experts with application to particle filtering. AISTATS 2010 db/journals/jmlr/jmlrp9.html#OlssonS10 conf/aistats/2010 573-580
745 2019-05-29 journals/jmlr/PoczosS11 Barnabás Póczos,Jeff G. Schneider On the Estimation of alpha-Divergences. AISTATS 2011 db/journals/jmlr/jmlrp15.html#PoczosS11 conf/aistats/2011 609-617
746 2019-05-29 journals/jmlr/KawakitaITHTK11 Masanori Kawakita,Ryota Izumi,Jun'ichi Takeuchi,Yi Hu,Tetsuya Takamori,Hirokazu Kameyama Acceleration technique for boosting classification and its application to face detection. ACML 2011 db/journals/jmlr/jmlrp20.html#KawakitaITHTK11 conf/acml/2011 335-349
747 2019-05-29 journals/jmlr/LaiLGXLXZDXLW12 Siwei Lai,Yang Liu 0021,Huxiang Gu,Liheng Xu,Kang Liu 0001,Shiming Xiang,Jun Zhao 0001,Rui Diao,Liang Xiang,Hang Li,Dong Wang Hybrid Recommendation Models for Binary User Preference Prediction Problem. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#LaiLGXLXZDXLW12 conf/kdd/2011kddcup 137-151
748 2019-05-29 journals/jmlr/SchraudolphYG07 Nicol N. Schraudolph,Jin Yu,Simon Günter A Stochastic Quasi-Newton Method for Online Convex Optimization. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SchraudolphYG07 conf/aistats/2007 436-443
749 2019-07-23 journals/jmlr/BlitzerKF11 John Blitzer,Sham M. Kakade,Dean P. Foster Domain Adaptation with Coupled Subspaces. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BlitzerKF11 conf/aistats/2011 173-181
750 2019-05-29 journals/jmlr/JiH12 Ming Ji,Jiawei Han 0001 A Variance Minimization Criterion to Active Learning on Graphs. AISTATS 2012 db/journals/jmlr/jmlrp22.html#JiH12 conf/aistats/2012 556-564
751 2019-05-29 journals/jmlr/MannorS12 Shie Mannor,Nathan Srebro Preface. COLT 2012 db/journals/jmlr/jmlrp23.html#MannorS12 conf/colt/2012 1.1-1.2
752 2019-05-29 journals/jmlr/LinZLT09 Yuanqing Lin,Shenghuo Zhu,Daniel D. Lee,Ben Taskar Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LinZLT09 conf/aistats/2009 360-367
753 2019-05-29 journals/jmlr/ZhouHDC12 Mingyuan Zhou,Lauren Hannah,David B. Dunson,Lawrence Carin Beta-Negative Binomial Process and Poisson Factor Analysis. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhouHDC12 conf/aistats/2012 1462-1471
754 2019-05-29 journals/jmlr/Schraudolph10 Nic Schraudolph Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching. AISTATS 2010 db/journals/jmlr/jmlrp9.html#Schraudolph10 conf/aistats/2010 717-724
755 2020-03-19 journals/jmlr/BifetHPKKJS10 Albert Bifet,Geoff Holmes 0001,Bernhard Pfahringer,Philipp Kranen,Hardy Kremer,Timm Jansen,Thomas Seidl 0001 MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. WAPA 2010 db/journals/jmlr/jmlrp11.html#BifetHPKKJS10 conf/wapa/2010 44-50
756 2019-05-29 journals/jmlr/LovellJZG12 Chris Lovell,Gareth L. Jones 0001,Klaus-Peter Zauner,Steve R. Gunn Exploration and Exploitation with Insufficient Resources. ICML On-line Trading of Exploration and Exploitation 2012 db/journals/jmlr/jmlrp26.html#LovellJZG12 conf/icml/2011otee 37-61
757 2019-05-29 journals/jmlr/BareinboimP12 Elias Bareinboim,Judea Pearl Controlling Selection Bias in Causal Inference. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BareinboimP12 conf/aistats/2012 100-108
758 2019-05-29 journals/jmlr/KallweitSKS11 Michael Kallweit,Hans Ulrich Simon A Close Look to Margin Complexity and Related Parameters. COLT 2011 db/journals/jmlr/jmlrp19.html#KallweitSKS11 conf/colt/2011 437-456
759 2019-07-25 journals/jmlr/HuangJ07 Bert Huang,Tony Jebara Loopy Belief Propagation for Bipartite Maximum Weight b-Matching. AISTATS 2007 db/journals/jmlr/jmlrp2.html#HuangJ07 conf/aistats/2007 195-202
760 2019-05-29 journals/jmlr/NiuDG12 Donglin Niu,Jennifer G. Dy,Zoubin Ghahramani A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. AISTATS 2012 db/journals/jmlr/jmlrp22.html#NiuDG12 conf/aistats/2012 814-822
761 2019-05-29 journals/jmlr/Feldman12 Vitaly Feldman Learning DNF Expressions from Fourier Spectrum. COLT 2012 db/journals/jmlr/jmlrp23.html#Feldman12 conf/colt/2012 17.1-17.19
762 2019-07-22 journals/jmlr/McAuleyC10 Julian J. McAuley,Tibério S. Caetano Exploiting Within-Clique Factorizations in Junction-Tree Algorithms. AISTATS 2010 db/journals/jmlr/jmlrp9.html#McAuleyC10 conf/aistats/2010 525-532
763 2019-05-29 journals/jmlr/DruckNV07 Gregory Druck,Mukund Narasimhan,Paul A. Viola Learning A* underestimates: Using inference to guide inference. AISTATS 2007 db/journals/jmlr/jmlrp2.html#DruckNV07 conf/aistats/2007 99-106
764 2019-05-29 journals/jmlr/NelsonRHJLLRTT10 Blaine Nelson,Benjamin I. P. Rubinstein,Ling Huang,Anthony D. Joseph,Shing-hon Lau,Steven J. Lee,Satish Rao,Anthony Tran,J. Doug Tygar Near-Optimal Evasion of Convex-Inducing Classifiers. AISTATS 2010 db/journals/jmlr/jmlrp9.html#NelsonRHJLLRTT10 conf/aistats/2010 549-556
765 2020-09-01 journals/jmlr/YamadaNTS11 Makoto Yamada,Gang Niu 0001,Jun Takagi,Masashi Sugiyama Suffcient Component Analysis. ACML 2011 db/journals/jmlr/jmlrp20.html#YamadaNTS11 conf/acml/2011 247-262
766 2019-05-29 journals/jmlr/HussainS11 Zakria Hussain,John Shawe-Taylor Improved Loss Bounds For Multiple Kernel Learning. AISTATS 2011 db/journals/jmlr/jmlrp15.html#HussainS11 conf/aistats/2011 370-377
767 2019-05-29 journals/jmlr/AgarwalD11 Arvind Agarwal,Hal Daumé III Generative Kernels for Exponential Families. AISTATS 2011 db/journals/jmlr/jmlrp15.html#AgarwalD11 conf/aistats/2011 85-92
768 2019-05-29 journals/jmlr/ZaanenL12 Menno van Zaanen,Janneke van de Loo Learning Interpretations Using Sequence Classification. ICGI 2012 db/journals/jmlr/jmlrp21.html#ZaanenL12 conf/icgi/2012 220-223
769 2019-05-29 journals/jmlr/ErhanMBBV09 Dumitru Erhan,Pierre-Antoine Manzagol,Yoshua Bengio,Samy Bengio,Pascal Vincent The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ErhanMBBV09 conf/aistats/2009 153-160
770 2019-05-29 journals/jmlr/NakajimaSB12 Shinichi Nakajima,Masashi Sugiyama,S. Derin Babacan Sparse Additive Matrix Factorization for Robust PCA and Its Generalization. ACML 2012 db/journals/jmlr/jmlrp25.html#NakajimaSB12 conf/acml/2012 301-316
771 2019-05-29 journals/jmlr/NadeemZH10 Malik Sajjad Ahmed Nadeem,Jean-Daniel Zucker,Blaise Hanczar Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. MLSB 2010 db/journals/jmlr/jmlrp8.html#NadeemZH10 conf/mlsb/2009 65-81
772 2019-05-29 journals/jmlr/LanSWV11 Liang Lan,Haidong Shi,Zhuang Wang,Slobodan Vucetic Active Learning Based on Parzen Window. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#LanSWV11 conf/aistats/2010w 99-112
773 2019-05-29 journals/jmlr/MramorTLCDZ10 Minca Mramor,Marko Toplak,Gregor Leban,Tomaz Curk,Janez Demsar,Blaz Zupan On utility of gene set signatures in gene expression-based cancer class prediction. MLSB 2010 db/journals/jmlr/jmlrp8.html#MramorTLCDZ10 conf/mlsb/2009 55-64
774 2019-05-29 journals/jmlr/ZhangS11 Jiji Zhang,Ricardo Bezerra de Andrade e Silva Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZhangS11 conf/aistats/2011 16-18
775 2019-05-29 journals/jmlr/YangHC11a Liu Yang 0001,Steve Hanneke,Jaime G. Carbonell Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning. COLT 2011 db/journals/jmlr/jmlrp19.html#YangHC11a conf/colt/2011 789-806
776 2019-10-17 journals/jmlr/BurgesSBPW11 Christopher J. C. Burges,Krysta M. Svore,Paul N. Bennett,Andrzej Pastusiak,Qiang Wu Learning to Rank Using an Ensemble of Lambda-Gradient Models. Yahoo! Learning to Rank Challenge 2011 db/journals/jmlr/jmlrp14.html#BurgesSBPW11 conf/icml/2010ltr 25-35
777 2019-05-29 journals/jmlr/ChallisB11 Edward Challis,David Barber Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ChallisB11 conf/aistats/2011 199-207
778 2019-05-29 journals/jmlr/PetersJS10 Jonas Peters,Dominik Janzing,Bernhard Schölkopf Identifying Cause and Effect on Discrete Data using Additive Noise Models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#PetersJS10 conf/aistats/2010 597-604
779 2019-05-29 journals/jmlr/Huynh-ThuWG08 Vân Anh Huynh-Thu,Louis Wehenkel,Pierre Geurts Exploiting tree-based variable importances to selectively identify relevant variables. FSDM 2008 db/journals/jmlr/jmlrp4.html#Huynh-ThuWG08 conf/pkdd/2008fsdm 60-73
780 2019-05-29 journals/jmlr/Nikulin08 Vladimir Nikulin Random Sets Approach and its Applications. WCCI Causation and Prediction Challenge 2008 db/journals/jmlr/jmlrp3.html#Nikulin08 conf/wcci/2008cpc 65-76
781 2020-04-23 journals/jmlr/SchmidtM10 Mark Schmidt 0001,Kevin P. Murphy Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SchmidtM10 conf/aistats/2010 709-716
782 2019-05-29 journals/jmlr/ZhongG09 Mingjun Zhong,Mark A. Girolami Reversible Jump MCMC for Non-Negative Matrix Factorization. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ZhongG09 conf/aistats/2009 663-670
783 2019-05-29 journals/jmlr/CampedelKM08 Marine Campedel,Ivan O. Kyrgyzov,Henri Maître Unsupervised feature selection applied to SPOT5 satellite images indexing. FSDM 2008 db/journals/jmlr/jmlrp4.html#CampedelKM08 conf/pkdd/2008fsdm 48-59
784 2019-05-29 journals/jmlr/NelsonBL11 Blaine Nelson,Battista Biggio,Pavel Laskov Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. ACML 2011 db/journals/jmlr/jmlrp20.html#NelsonBL11 conf/acml/2011 63-79
785 2019-05-29 journals/jmlr/SunehagTVS09 Peter Sunehag,Jochen Trumpf,S. V. N. Vishwanathan,Nicol N. Schraudolph Variable Metric Stochastic Approximation Theory. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SunehagTVS09 conf/aistats/2009 560-566
786 2019-05-29 journals/jmlr/KloftL10 Marius Kloft,Pavel Laskov Online Anomaly Detection under Adversarial Impact. AISTATS 2010 db/journals/jmlr/jmlrp9.html#KloftL10 conf/aistats/2010 405-412
787 2021-01-02 journals/jmlr/ZhangT11 Chao Zhang 0017,Dacheng Tao Generalization Bound for Infinitely Divisible Empirical Process. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZhangT11 conf/aistats/2011 864-872
788 2019-05-29 journals/jmlr/BeygelzimerLLRS11 Alina Beygelzimer,John Langford 0001,Lihong Li 0001,Lev Reyzin,Robert E. Schapire Contextual Bandit Algorithms with Supervised Learning Guarantees. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BeygelzimerLLRS11 conf/aistats/2011 19-26
789 2019-05-29 journals/jmlr/ZhouT12 Tianyi Zhou,Dacheng Tao Multi-label Subspace Ensemble. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ZhouT12 conf/aistats/2012 1444-1452
790 2019-05-29 journals/jmlr/YangLS09 Min Yang,Yuxi Li,Dale Schuurmans Dual Temporal Difference Learning. AISTATS 2009 db/journals/jmlr/jmlrp5.html#YangLS09 conf/aistats/2009 631-638
791 2020-09-02 journals/jmlr/SilverGTDL12 Daniel L. Silver,Isabelle Guyon,Graham W. Taylor,Gideon Dror,Vincent Lemaire 0001 ICML2011 Unsupervised and Transfer Learning Workshop. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#SilverGTDL12 conf/icml/2011utl 1-16
792 2019-05-29 journals/jmlr/Eisner12 Jason Eisner Grammar Induction: Beyond Local Search. ICGI 2012 db/journals/jmlr/jmlrp21.html#Eisner12 conf/icgi/2012 112-113
793 2019-05-29 journals/jmlr/SeldinCALS12 Yevgeny Seldin,Nicolò Cesa-Bianchi,Peter Auer,François Laviolette,John Shawe-Taylor PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. ICML On-line Trading of Exploration and Exploitation 2012 db/journals/jmlr/jmlrp26.html#SeldinCALS12 conf/icml/2011otee 98-111
794 2019-05-29 journals/jmlr/AbudawoodF10 Tarek Abudawood,Peter A. Flach Exploiting the High Predictive Power of Multi-class Subgroups. ACML 2010 db/journals/jmlr/jmlrp13.html#AbudawoodF10 conf/acml/2010 177-192
795 2019-05-29 journals/jmlr/WhiteCL11 Halbert White,Karim Chalak,Xun Lu Linking Granger Causality and the Pearl Causal Model with Settable Systems. NIPS Mini-Symposium on Causality in Time Series 2011 db/journals/jmlr/jmlrp12.html#WhiteCL11 conf/nips/2009mscts 1-29
796 2019-05-29 journals/jmlr/Eberhardt10 Frederick Eberhardt Causal Discovery as a Game. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#Eberhardt10 conf/nips/2008coa 87-96
797 2019-05-29 journals/jmlr/HennigSHG12 Philipp Hennig,David H. Stern,Ralf Herbrich,Thore Graepel Kernel Topic Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#HennigSHG12 conf/aistats/2012 511-519
798 2019-05-29 journals/jmlr/Chatzis12 Sotirios P. Chatzis A Coupled Indian Buffet Process Model for Collaborative Filtering. ACML 2012 db/journals/jmlr/jmlrp25.html#Chatzis12 conf/acml/2012 65-79
799 2019-05-29 journals/jmlr/FeldmanLS11 Vitaly Feldman,Homin K. Lee,Rocco A. Servedio Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas. COLT 2011 db/journals/jmlr/jmlrp19.html#FeldmanLS11 conf/colt/2011 273-292
800 2019-05-29 journals/jmlr/AartsKTVV12 Fides Aarts,Harco Kuppens,Jan Tretmans,Frits W. Vaandrager,Sicco Verwer Learning and Testing the Bounded Retransmission Protocol. ICGI 2012 db/journals/jmlr/jmlrp21.html#AartsKTVV12 conf/icgi/2012 4-18
801 2019-05-29 journals/jmlr/Collier12 Olivier Collier Minimax hypothesis testing for curve registration. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Collier12 conf/aistats/2012 236-245
802 2019-05-29 journals/jmlr/SalzmannEUD10 Mathieu Salzmann,Carl Henrik Ek,Raquel Urtasun,Trevor Darrell Factorized Orthogonal Latent Spaces. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SalzmannEUD10 conf/aistats/2010 701-708
803 2019-05-29 journals/jmlr/DzeroskiGR10 Saso Dzeroski,Pierre Geurts,Juho Rousu Preface. MLSB 2010 db/journals/jmlr/jmlrp8.html#DzeroskiGR10 conf/mlsb/2009 1-2
804 2019-05-29 journals/jmlr/Armagan09 Artin Armagan Variational Bridge Regression. AISTATS 2009 db/journals/jmlr/jmlrp5.html#Armagan09 conf/aistats/2009 17-24
805 2019-05-29 journals/jmlr/KimG12 Hyun-Chul Kim,Zoubin Ghahramani Bayesian Classifier Combination. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KimG12 conf/aistats/2012 619-627
806 2019-05-29 journals/jmlr/CosteGN12 François Coste,Gaëlle Garet,Jacques Nicolas Locally Substitutable Languages for Enhanced Inductive Leaps. ICGI 2012 db/journals/jmlr/jmlrp21.html#CosteGN12 conf/icgi/2012 97-111
807 2019-05-29 journals/jmlr/Florencio12 Christophe Costa Florêncio Learning Tree Adjoining Grammars from Structures and Strings. ICGI 2012 db/journals/jmlr/jmlrp21.html#Florencio12 conf/icgi/2012 129-132
808 2019-05-29 journals/jmlr/RaiD10 Piyush Rai,Hal Daumé III Infinite Predictor Subspace Models for Multitask Learning. AISTATS 2010 db/journals/jmlr/jmlrp9.html#RaiD10 conf/aistats/2010 613-620
809 2019-05-29 journals/jmlr/KumarMT09 Sanjiv Kumar,Mehryar Mohri,Ameet Talwalkar Sampling Techniques for the Nystrom Method. AISTATS 2009 db/journals/jmlr/jmlrp5.html#KumarMT09 conf/aistats/2009 304-311
810 2019-05-29 journals/jmlr/KulisSP07 Brian Kulis,Arun C. Surendran,John C. Platt Fast Low-Rank Semidefinite Programming for Embedding and Clustering. AISTATS 2007 db/journals/jmlr/jmlrp2.html#KulisSP07 conf/aistats/2007 235-242
811 2019-05-29 journals/jmlr/TabeiUST10 Yasuo Tabei,Takeaki Uno,Masashi Sugiyama,Koji Tsuda Single versus Multiple Sorting in All Pairs Similarity Search. ACML 2010 db/journals/jmlr/jmlrp13.html#TabeiUST10 conf/acml/2010 145-160
812 2019-05-29 journals/jmlr/GuhaM07 Sudipto Guha,Andrew McGregor 0001 Space-Efficient Sampling. AISTATS 2007 db/journals/jmlr/jmlrp2.html#GuhaM07 conf/aistats/2007 171-178
813 2019-05-29 journals/jmlr/SutskeverH07 Ilya Sutskever,Geoffrey E. Hinton Learning Multilevel Distributed Representations for High-Dimensional Sequences. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SutskeverH07 conf/aistats/2007 548-555
814 2019-05-29 journals/jmlr/LeeC09 Hyekyoung Lee,Seungjin Choi Group Nonnegative Matrix Factorization for EEG Classification. AISTATS 2009 db/journals/jmlr/jmlrp5.html#LeeC09 conf/aistats/2009 320-327
815 2019-05-29 journals/jmlr/ShariatP12 Shahriar Shariat,Vladimir Pavlovic Improved sequence classification using adaptive segmental sequence alignment. ACML 2012 db/journals/jmlr/jmlrp25.html#ShariatP12 conf/acml/2012 379-394
816 2019-05-29 journals/jmlr/VuL12 Vincent Q. Vu,Jing Lei Minimax Rates of Estimation for Sparse PCA in High Dimensions. AISTATS 2012 db/journals/jmlr/jmlrp22.html#VuL12 conf/aistats/2012 1278-1286
817 2019-05-29 journals/jmlr/AdhikariH12 Prem Raj Adhikari,Jaakko Hollmén Multiresolution Mixture Modeling using Merging of Mixture Components. ACML 2012 db/journals/jmlr/jmlrp25.html#AdhikariH12 conf/acml/2012 17-32
818 2019-05-29 journals/jmlr/MadaniGR12 Omid Madani,Manfred Georg,David A. Ross On Using Nearly-Independent Feature Families for High Precision and Confidence. ACML 2012 db/journals/jmlr/jmlrp25.html#MadaniGR12 conf/acml/2012 269-284
819 2019-05-29 journals/jmlr/PnevmatikakisP12 Eftychios A. Pnevmatikakis,Liam Paninski Fast interior-point inference in high-dimensional sparse, penalized state-space models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#PnevmatikakisP12 conf/aistats/2012 895-904
820 2019-05-29 journals/jmlr/GoldbergZW07 Andrew B. Goldberg,Xiaojin Zhu 0001,Stephen J. Wright Dissimilarity in Graph-Based Semi-Supervised Classification. AISTATS 2007 db/journals/jmlr/jmlrp2.html#GoldbergZW07 conf/aistats/2007 155-162
821 2019-05-29 journals/jmlr/Collobert11 Ronan Collobert Deep Learning for Efficient Discriminative Parsing. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Collobert11 conf/aistats/2011 224-232
822 2019-05-29 journals/jmlr/AbernethyBH11 Jacob D. Abernethy,Peter L. Bartlett,Elad Hazan Blackwell Approachability and No-Regret Learning are Equivalent. COLT 2011 db/journals/jmlr/jmlrp19.html#AbernethyBH11 conf/colt/2011 27-46
823 2019-05-29 journals/jmlr/ShawJ07 Blake Shaw,Tony Jebara Minimum Volume Embedding. AISTATS 2007 db/journals/jmlr/jmlrp2.html#ShawJ07 conf/aistats/2007 460-467
824 2020-04-23 journals/jmlr/SchmidtBFM09 Mark Schmidt 0001,Ewout van den Berg,Michael P. Friedlander,Kevin P. Murphy Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SchmidtBFM09 conf/aistats/2009 456-463
825 2019-05-29 journals/jmlr/CunninghamGR12 John P. Cunningham,Zoubin Ghahramani,Carl Edward Rasmussen Gaussian Processes for time-marked time-series data. AISTATS 2012 db/journals/jmlr/jmlrp22.html#CunninghamGR12 conf/aistats/2012 255-263
826 2019-05-29 journals/jmlr/YeX07 Jieping Ye,Tao Xiong SVM versus Least Squares SVM. AISTATS 2007 db/journals/jmlr/jmlrp2.html#YeX07 conf/aistats/2007 644-651
827 2019-05-29 journals/jmlr/SaalTV10 Hannes P. Saal,Jo-Anne Ting,Sethu Vijayakumar Active Sequential Learning with Tactile Feedback. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SaalTV10 conf/aistats/2010 677-684
828 2019-05-29 journals/jmlr/Allen12 Genevera Allen Sparse Higher-Order Principal Components Analysis. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Allen12 conf/aistats/2012 27-36
829 2019-05-29 journals/jmlr/StobbeK12 Peter Stobbe,Andreas Krause 0001 Learning Fourier Sparse Set Functions. AISTATS 2012 db/journals/jmlr/jmlrp22.html#StobbeK12 conf/aistats/2012 1125-1133
830 2019-05-29 journals/jmlr/LiuMSZ10a Huan Liu 0001,Hiroshi Motoda,Rudy Setiono,Zheng Zhao Feature Selection: An Ever Evolving Frontier in Data Mining. FSDM 2010 db/journals/jmlr/jmlrp10.html#LiuMSZ10a conf/pakdd/2010fsdm 4-13
831 2019-05-29 journals/jmlr/LiFL12 Chun-Liang Li,Chun-Sung Ferng,Hsuan-Tien Lin Active Learning with Hinted Support Vector Machine. ACML 2012 db/journals/jmlr/jmlrp25.html#LiFL12 conf/acml/2012 221-235
832 2019-05-29 journals/jmlr/EruhimovMP08 Victor Eruhimov,Vladimir Martyanov,Aleksey Polovinkin Transferring Knowledge by Prior Feature Sampling. FSDM 2008 db/journals/jmlr/jmlrp4.html#EruhimovMP08 conf/pkdd/2008fsdm 135-147
833 2019-05-29 journals/jmlr/HaimovitchCM12 Yoav Haimovitch,Koby Crammer,Shie Mannor More Is Better: Large Scale Partially-supervised Sentiment Classication. ACML 2012 db/journals/jmlr/jmlrp25.html#HaimovitchCM12 conf/acml/2012 175-190
834 2019-05-29 journals/jmlr/AndrewB12 Galen Andrew,Jeff A. Bilmes Memory-efficient inference in dynamic graphical models using multiple cores. AISTATS 2012 db/journals/jmlr/jmlrp22.html#AndrewB12 conf/aistats/2012 47-53
835 2019-05-29 journals/jmlr/IrfanGO12 Muhammad-Naeem Irfan,Roland Groz,Catherine Oriat Improving Model Inference of Black Box Components having Large Input Test Set. ICGI 2012 db/journals/jmlr/jmlrp21.html#IrfanGO12 conf/icgi/2012 133-138
836 2020-07-20 journals/jmlr/ChenM11 Yukun Chen,Subramani Mani Active Learning for Unbalanced Data in the Challenge with Multiple Models and Biasing. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#ChenM11 conf/aistats/2010w 113-126
837 2019-05-29 journals/jmlr/Bailly11 Raphaël Bailly QWA: Spectral Algorithm. ACML 2011 db/journals/jmlr/jmlrp20.html#Bailly11 conf/acml/2011 147-163
838 2019-05-29 journals/jmlr/GrunwaldK11 Peter D. Grünwald,Wojciech Kotlowski Bounds on Individual Risk for Log-loss Predictors. COLT 2011 db/journals/jmlr/jmlrp19.html#GrunwaldK11 conf/colt/2011 813-816
839 2019-05-29 journals/jmlr/ConroyS12 Bryan R. Conroy,Paul Sajda Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression. AISTATS 2012 db/journals/jmlr/jmlrp22.html#ConroyS12 conf/aistats/2012 246-254
840 2019-05-29 journals/jmlr/ChaudhuriGT12 Kamalika Chaudhuri,Fan Chung Graham,Alexander Tsiatas Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model. COLT 2012 db/journals/jmlr/jmlrp23.html#ChaudhuriGT12 conf/colt/2012 35.1-35.23
841 2019-05-29 journals/jmlr/WangS12 Weijia Wang,Michèle Sebag Multi-objective Monte-Carlo Tree Search. ACML 2012 db/journals/jmlr/jmlrp25.html#WangS12 conf/acml/2012 507-522
842 2019-05-29 journals/jmlr/KontkanenM07 Petri Kontkanen,Petri Myllymäki MDL Histogram Density Estimation. AISTATS 2007 db/journals/jmlr/jmlrp2.html#KontkanenM07 conf/aistats/2007 219-226
843 2019-05-29 journals/jmlr/AgarwalDBL11 Alekh Agarwal,John C. Duchi,Peter L. Bartlett,Clément Levrard Oracle inequalities for computationally budgeted model selection. COLT 2011 db/journals/jmlr/jmlrp19.html#AgarwalDBL11 conf/colt/2011 69-86
844 2019-05-29 journals/jmlr/HannahBP10 Lauren Hannah,David M. Blei,Warren B. Powell Dirichlet Process Mixtures of Generalized Linear Models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#HannahBP10 conf/aistats/2010 313-320
845 2019-05-29 journals/jmlr/MeilaS07 Marina Meila,Xiaotong Shen Preface. AISTATS 2007 db/journals/jmlr/jmlrp2.html#MeilaS07 conf/aistats/2007 1-2
846 2019-05-29 journals/jmlr/OrabonaCG12 Francesco Orabona,Nicolò Cesa-Bianchi,Claudio Gentile Beyond Logarithmic Bounds in Online Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#OrabonaCG12 conf/aistats/2012 823-831
847 2019-05-29 journals/jmlr/SeldinT09 Yevgeny Seldin,Naftali Tishby PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SeldinT09 conf/aistats/2009 472-479
848 2019-05-29 journals/jmlr/LagardaCJC10 Antonio L. Lagarda,Jorge Civera,Alfons Juan,Francisco Casacuberta Interactive Pattern Recognition and Human Language Technology for Digital Audiovisual Content Processing. WAPA 2010 db/journals/jmlr/jmlrp11.html#LagardaCJC10 conf/wapa/2010 103-110
849 2019-05-29 journals/jmlr/Mnih12 Andriy Mnih Taxonomy-Informed Latent Factor Models for Implicit Feedback. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#Mnih12 conf/kdd/2011kddcup 169-181
850 2019-05-29 journals/jmlr/MohriT11 Mehryar Mohri,Ameet Talwalkar Can matrix coherence be efficiently and accurately estimated? AISTATS 2011 db/journals/jmlr/jmlrp15.html#MohriT11 conf/aistats/2011 534-542
851 2019-05-29 journals/jmlr/DillonL09 Joshua V. Dillon,Guy Lebanon Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. AISTATS 2009 db/journals/jmlr/jmlrp5.html#DillonL09 conf/aistats/2009 129-136
852 2019-05-29 journals/jmlr/SriperumbudurS12 Bharath K. Sriperumbudur,Ingo Steinwart Consistency and Rates for Clustering with DBSCAN. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SriperumbudurS12 conf/aistats/2012 1090-1098
853 2019-05-29 journals/jmlr/WangPB11 Chong Wang 0002,John W. Paisley,David M. Blei Online Variational Inference for the Hierarchical Dirichlet Process. AISTATS 2011 db/journals/jmlr/jmlrp15.html#WangPB11 conf/aistats/2011 752-760
854 2019-05-29 journals/jmlr/SalakhutdinovKF12 Ruslan Salakhutdinov,Sham M. Kakade,Dean P. Foster Domain Adaptation: A Small Sample Statistical Approach. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SalakhutdinovKF12 conf/aistats/2012 960-968
855 2019-05-29 journals/jmlr/Eaton11 Frederik Eaton A conditional game for comparing approximations. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Eaton11 conf/aistats/2011 63-71
856 2019-05-29 journals/jmlr/AlvarezLL09 Mauricio A. Álvarez,David Luengo,Neil D. Lawrence Latent Force Models. AISTATS 2009 db/journals/jmlr/jmlrp5.html#AlvarezLL09 conf/aistats/2009 9-16
857 2019-05-29 journals/jmlr/RouxB07 Nicolas Le Roux,Yoshua Bengio Continuous Neural Networks. AISTATS 2007 db/journals/jmlr/jmlrp2.html#RouxB07 conf/aistats/2007 404-411
858 2019-05-29 journals/jmlr/AriuG10 Davide Ariu,Giorgio Giacinto HMMPayl: an application of HMM to the analysis of the HTTP Payload. WAPA 2010 db/journals/jmlr/jmlrp11.html#AriuG10 conf/wapa/2010 81-87
859 2019-05-29 journals/jmlr/YuanY12 Xiaotong Yuan,Shuicheng Yan Forward Basis Selection for Sparse Approximation over Dictionary. AISTATS 2012 db/journals/jmlr/jmlrp22.html#YuanY12 conf/aistats/2012 1377-1388
860 2019-05-29 journals/jmlr/DykW09 David A. Van Dyk,Max Welling Preface. AISTATS 2009 db/journals/jmlr/jmlrp5.html#DykW09 conf/aistats/2009
861 2019-05-29 journals/jmlr/CoatesNL11 Adam Coates,Andrew Y. Ng,Honglak Lee An Analysis of Single-Layer Networks in Unsupervised Feature Learning. AISTATS 2011 db/journals/jmlr/jmlrp15.html#CoatesNL11 conf/aistats/2011 215-223
862 2019-05-29 journals/jmlr/WallachJDH10 Hanna M. Wallach,Shane T. Jensen,Lee H. Dicker,Katherine A. Heller An Alternative Prior Process for Nonparametric Bayesian Clustering. AISTATS 2010 db/journals/jmlr/jmlrp9.html#WallachJDH10 conf/aistats/2010 892-899
863 2019-05-29 journals/jmlr/XiXRS09 Yongxin Taylor Xi,Zhen James Xiang,Peter J. Ramadge,Robert E. Schapire Speed and Sparsity of Regularized Boosting. AISTATS 2009 db/journals/jmlr/jmlrp5.html#XiXRS09 conf/aistats/2009 615-622
864 2019-05-29 journals/jmlr/AiroldiH11 Edoardo M. Airoldi,Bertrand Haas Polytope samplers for inference in ill-posed inverse problems. AISTATS 2011 db/journals/jmlr/jmlrp15.html#AiroldiH11 conf/aistats/2011 110-118
865 2019-05-29 journals/jmlr/XuCM12 Huan Xu,Constantine Caramanis,Shie Mannor Statistical Optimization in High Dimensions. AISTATS 2012 db/journals/jmlr/jmlrp22.html#XuCM12 conf/aistats/2012 1332-1340
866 2019-05-29 journals/jmlr/SanchezMB11 David Sánchez-Mendoza,Lluís A. Belanche Muñoz,Anicet R. Blanch A Software System for the Microbial Source Tracking Problem. WAPA 2011 db/journals/jmlr/jmlrp17.html#SanchezMB11 conf/wapa/2011 56-62
867 2019-05-29 journals/jmlr/Freno12 Antonino Freno Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Freno12 conf/aistats/2012 391-399
868 2019-12-03 journals/jmlr/JuanRSSTV10 Alfons Juan,Verónica Romero 0001,Joan-Andreu Sánchez,Nicolás Serrano,Alejandro H. Toselli,Enrique Vidal 0001 Handwritten Text Recognition for Ancient Documents. WAPA 2010 db/journals/jmlr/jmlrp11.html#JuanRSSTV10 conf/wapa/2010 58-65
869 2019-05-29 journals/jmlr/LiuZJL10 Han Liu,Jian Zhang 0003,Xiaoye Jiang,Jun Liu 0003 The Group Dantzig Selector. AISTATS 2010 db/journals/jmlr/jmlrp9.html#LiuZJL10 conf/aistats/2010 461-468
870 2019-05-29 journals/jmlr/RuizRA08 Roberto Ruiz,José C. Riquelme,Jesús S. Aguilar-Ruiz Best Agglomerative Ranked Subset for Feature Selection. FSDM 2008 db/journals/jmlr/jmlrp4.html#RuizRA08 conf/pkdd/2008fsdm 148-162
871 2019-05-29 journals/jmlr/EatonG09 Frederik Eaton,Zoubin Ghahramani Choosing a Variable to Clamp. AISTATS 2009 db/journals/jmlr/jmlrp5.html#EatonG09 conf/aistats/2009 145-152
872 2019-05-29 journals/jmlr/GongSM10 Dian Gong,Fei Sha,Gérard G. Medioni Locally Linear Denoising on Image Manifolds. AISTATS 2010 db/journals/jmlr/jmlrp9.html#GongSM10 conf/aistats/2010 265-272
873 2019-05-29 journals/jmlr/LazicFA10 Nevena Lazic,Brendan J. Frey,Parham Aarabi Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. AISTATS 2010 db/journals/jmlr/jmlrp9.html#LazicFA10 conf/aistats/2010 429-436
874 2019-05-29 journals/jmlr/SminchisescuW07 Cristian Sminchisescu,Max Welling Generalized Darting Monte Carlo. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SminchisescuW07 conf/aistats/2007 516-523
875 2019-05-29 journals/jmlr/BalakrishnanRSSW12 Sivaraman Balakrishnan,Alessandro Rinaldo,Don Sheehy,Aarti Singh,Larry A. Wasserman Minimax rates for homology inference. AISTATS 2012 db/journals/jmlr/jmlrp22.html#BalakrishnanRSSW12 conf/aistats/2012 64-72
876 2019-05-29 journals/jmlr/AnandkumarHK12 Animashree Anandkumar,Daniel J. Hsu,Sham M. Kakade A Method of Moments for Mixture Models and Hidden Markov Models. COLT 2012 db/journals/jmlr/jmlrp23.html#AnandkumarHK12 conf/colt/2012 33.1-33.34
877 2019-05-29 journals/jmlr/HennigSG10 Philipp Hennig,David H. Stern,Thore Graepel Coherent Inference on Optimal Play in Game Trees. AISTATS 2010 db/journals/jmlr/jmlrp9.html#HennigSG10 conf/aistats/2010 326-333
878 2019-05-29 journals/jmlr/SalehiNG10 Elham Salehi,Jayashree Nyayachavadi,Robin Gras A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies. FSDM 2010 db/journals/jmlr/jmlrp10.html#SalehiNG10 conf/pakdd/2010fsdm 22-34
879 2019-05-29 journals/jmlr/NikulinH12 Vladimir Nikulin,Tian-Hsiang Huang Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#NikulinH12 conf/icml/2011utl 181-194
880 2019-05-29 journals/jmlr/SteffenHI12 Bernhard Steffen,Falk Howar,Malte Isberner Active Automata Learning: From DFAs to Interface Programs and Beyond. ICGI 2012 db/journals/jmlr/jmlrp21.html#SteffenHI12 conf/icgi/2012 195-209
881 2019-05-29 journals/jmlr/WilsonFT12 Aaron Wilson,Alan Fern,Prasad Tadepalli Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#WilsonFT12 conf/icml/2011utl 217-227
882 2019-05-29 journals/jmlr/ZhangDJ10 Zhihua Zhang,Guang Dai,Michael I. Jordan Matrix-Variate Dirichlet Process Mixture Models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ZhangDJ10 conf/aistats/2010 980-987
883 2019-05-29 journals/jmlr/SpielmanWW12 Daniel A. Spielman,Huan Wang,John Wright 0001 Exact Recovery of Sparsely-Used Dictionaries. COLT 2012 db/journals/jmlr/jmlrp23.html#SpielmanWW12 conf/colt/2012 37.1-37.18
884 2019-05-29 journals/jmlr/ShenJG07 Hao Shen,Stefanie Jegelka,Arthur Gretton Fast Kernel ICA using an Approximate Newton Method. AISTATS 2007 db/journals/jmlr/jmlrp2.html#ShenJG07 conf/aistats/2007 476-483
885 2019-05-29 journals/jmlr/Niculescu-MizilC07 Alexandru Niculescu-Mizil,Rich Caruana Inductive Transfer for Bayesian Network Structure Learning. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Niculescu-MizilC07 conf/aistats/2007 339-346
886 2019-05-29 journals/jmlr/BengioBBBBCCCEEGMLPRSS11 Yoshua Bengio,Frédéric Bastien,Arnaud Bergeron,Nicolas Boulanger-Lewandowski,Thomas M. Breuel,Youssouf Chherawala,Moustapha Cissé,Myriam Côté,Dumitru Erhan,Jeremy Eustache,Xavier Glorot,Xavier Muller,Sylvain Pannetier Lebeuf,Razvan Pascanu,Salah Rifai,François Savard,Guillaume Sicard Deep Learners Benefit More from Out-of-Distribution Examples. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BengioBBBBCCCEEGMLPRSS11 conf/aistats/2011 164-172
887 2019-05-29 journals/jmlr/ChangL08 Yin-Wen Chang,Chih-Jen Lin Feature Ranking Using Linear SVM. WCCI Causation and Prediction Challenge 2008 db/journals/jmlr/jmlrp3.html#ChangL08 conf/wcci/2008cpc 53-64
888 2019-05-29 journals/jmlr/BelkinQWZ12 Mikhail Belkin,Qichao Que,Yusu Wang,Xueyuan Zhou Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries. COLT 2012 db/journals/jmlr/jmlrp23.html#BelkinQWZ12 conf/colt/2012 36.1-36.26
889 2019-05-29 journals/jmlr/Domke12 Justin Domke Generic Methods for Optimization-Based Modeling. AISTATS 2012 db/journals/jmlr/jmlrp22.html#Domke12 conf/aistats/2012 318-326
890 2019-05-29 journals/jmlr/VoortmanDD10 Mark Voortman,Denver Dash,Marek J. Druzdzel Learning Causal Models That Make Correct Manipulation Predictions. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#VoortmanDD10 conf/nips/2008coa 257-266
891 2019-05-29 journals/jmlr/Slivkins11a Aleksandrs Slivkins Monotone multi-armed bandit allocations. COLT 2011 db/journals/jmlr/jmlrp19.html#Slivkins11a conf/colt/2011 829-834
892 2019-05-29 journals/jmlr/HuangSS10 Tzu-Kuo Huang,Le Song,Jeff G. Schneider Learning Nonlinear Dynamic Models from Non-sequenced Data. AISTATS 2010 db/journals/jmlr/jmlrp9.html#HuangSS10 conf/aistats/2010 350-357
893 2019-05-29 journals/jmlr/Saeed08 Mehreen Saeed Bernoulli Mixture Models for Markov Blanket Filtering and Classification. WCCI Causation and Prediction Challenge 2008 db/journals/jmlr/jmlrp3.html#Saeed08 conf/wcci/2008cpc 77-91
894 2019-05-29 journals/jmlr/MooijWKR07 Joris M. Mooij,Bastian Wemmenhove,Bert Kappen,Tommaso Rizzo Loop Corrected Belief Propagation. AISTATS 2007 db/journals/jmlr/jmlrp2.html#MooijWKR07 conf/aistats/2007 331-338
895 2020-03-19 journals/jmlr/BifetHPG11 Albert Bifet,Geoffrey Holmes 0001,Bernhard Pfahringer,Ricard Gavaldà Detecting Sentiment Change in Twitter Streaming Data. WAPA 2011 db/journals/jmlr/jmlrp17.html#BifetHPG11 conf/wapa/2011 5-11
896 2019-05-29 journals/jmlr/LiHZG11 Bin Li 0027,Steven C. H. Hoi,Peilin Zhao,Vivekanand Gopalkrishnan Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LiHZG11 conf/aistats/2011 434-442
897 2019-05-29 journals/jmlr/LuoSNU11 Heng Luo,Ruimin Shen,Changyong Niu,Carsten Ullrich Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM. AISTATS 2011 db/journals/jmlr/jmlrp15.html#LuoSNU11 conf/aistats/2011 470-478
898 2019-05-29 journals/jmlr/DurrantK12 Robert J. Durrant,Ata Kabán Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space. AISTATS 2012 db/journals/jmlr/jmlrp22.html#DurrantK12 conf/aistats/2012 337-345
899 2019-05-29 journals/jmlr/YasutakeHTT12 Shota Yasutake,Kohei Hatano,Eiji Takimoto,Masayuki Takeda Online Rank Aggregation. ACML 2012 db/journals/jmlr/jmlrp25.html#YasutakeHTT12 conf/acml/2012 539-553
900 2019-05-29 journals/jmlr/Foygel12 Rina Foygel Commentary on "Near-Optimal Algorithms for Online Matrix Prediction". COLT 2012 db/journals/jmlr/jmlrp23.html#Foygel12 conf/colt/2012 38.14-38.17
901 2019-05-29 journals/jmlr/SilvaHG07 Ricardo Bezerra de Andrade e Silva,Katherine A. Heller,Zoubin Ghahramani Analogical Reasoning with Relational Bayesian Sets. AISTATS 2007 db/journals/jmlr/jmlrp2.html#SilvaHG07 conf/aistats/2007 500-507
902 2019-05-29 journals/jmlr/ManwaniS10 Naresh Manwani,P. S. Sastry Learning Polyhedral Classifiers Using Logistic Function. ACML 2010 db/journals/jmlr/jmlrp13.html#ManwaniS10 conf/acml/2010 17-30
903 2019-05-29 journals/jmlr/MadaniGKS07 Omid Madani,Wiley Greiner,David Kempe 0001,Mohammad R. Salavatipour Recall Systems: Effcient Learning and Use of Category Indices. AISTATS 2007 db/journals/jmlr/jmlrp2.html#MadaniGKS07 conf/aistats/2007 307-314
904 2019-05-29 journals/jmlr/KhaleghiRMP12 Azadeh Khaleghi,Daniil Ryabko,Jérémie Mary,Philippe Preux Online Clustering of Processes. AISTATS 2012 db/journals/jmlr/jmlrp22.html#KhaleghiRMP12 conf/aistats/2012 601-609
905 2019-05-29 journals/jmlr/GarivierC11 Aurélien Garivier,Olivier Cappé The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond. COLT 2011 db/journals/jmlr/jmlrp19.html#GarivierC11 conf/colt/2011 359-376
906 2019-05-29 journals/jmlr/YeCX11 Gui-Bo Ye,Yifei Chen,Xiaohui Xie Efficient variable selection in support vector machines via the alternating direction method of multipliers. AISTATS 2011 db/journals/jmlr/jmlrp15.html#YeCX11 conf/aistats/2011 832-840
907 2019-05-29 journals/jmlr/DingQXML10 Nan Ding,Yuan (Alan) Qi,Rongjing Xiang,Ian Molloy,Ninghui Li Nonparametric Bayesian Matrix Factorization by Power-EP. AISTATS 2010 db/journals/jmlr/jmlrp9.html#DingQXML10 conf/aistats/2010 169-176
908 2019-05-29 journals/jmlr/HoPSX11 Qirong Ho,Ankur P. Parikh,Le Song,Eric P. Xing Multiscale Community Blockmodel for Network Exploration. AISTATS 2011 db/journals/jmlr/jmlrp15.html#HoPSX11 conf/aistats/2011 333-341
909 2019-05-29 journals/jmlr/WoodT09 Frank D. Wood,Yee Whye Teh A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation. AISTATS 2009 db/journals/jmlr/jmlrp5.html#WoodT09 conf/aistats/2009 607-614
910 2021-04-19 journals/jmlr/XieXWG10 Juanying Xie,Weixin Xie,Chunxia Wang,Xinbo Gao 0001 A Novel Hybrid Feature Selection Method Based on IFSFFS and SVM for the Diagnosis of Erythemato-Squamous Diseases. WAPA 2010 db/journals/jmlr/jmlrp11.html#XieXWG10 conf/wapa/2010 142-151
911 2019-05-29 journals/jmlr/YangTR12 Eunho Yang,Ambuj Tewari,Pradeep Ravikumar Perturbation based Large Margin Approach for Ranking. AISTATS 2012 db/journals/jmlr/jmlrp22.html#YangTR12 conf/aistats/2012 1358-1366
912 2019-05-29 journals/jmlr/GutmannH10 Michael Gutmann,Aapo Hyvärinen Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#GutmannH10 conf/aistats/2010 297-304
913 2019-05-29 journals/jmlr/ZagoruikoBDK10 Nikolay G. Zagoruiko,Irina Borisova,Vladimir Dyubanov,Olga Kutnenko Attribute Selection Based on FRiS-Compactness. FSDM 2010 db/journals/jmlr/jmlrp10.html#ZagoruikoBDK10 conf/pakdd/2010fsdm 35-44
914 2020-02-18 journals/jmlr/BravoWEKW09 Héctor Corrada Bravo,Stephen J. Wright,Kevin H. Eng,Sündüz Keles,Grace Wahba Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. AISTATS 2009 db/journals/jmlr/jmlrp5.html#BravoWEKW09 conf/aistats/2009 41-48
915 2019-05-29 journals/jmlr/TranPV11 Truyen Tran 0001,Dinh Q. Phung,Svetha Venkatesh Mixed-Variate Restricted Boltzmann Machines. ACML 2011 db/journals/jmlr/jmlrp20.html#TranPV11 conf/acml/2011 213-229
916 2019-05-29 journals/jmlr/SunLK11 Mingxuan Sun,Guy Lebanon,Paul Kidwell Estimating Probabilities in Recommendation Systems. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SunLK11 conf/aistats/2011 734-742
917 2019-05-29 journals/jmlr/DoetschBGHKLOSFM09 Patrick Doetsch,Christian Buck,Pavlo Golik,Niklas Hoppe,Michael Kramp,Johannes Laudenberg,Christian Oberdörfer,Pascal Steingrube,Jens Forster,Arne Mauser Logistic Model Trees with AUC Split Criterion for the KDD Cup 2009 Small Challenge. KDD Cup 2009 db/journals/jmlr/jmlrp7.html#DoetschBGHKLOSFM09 conf/kdd/2009kddcup 77-88
918 2019-05-29 journals/jmlr/IshiguroUS12 Katsuhiko Ishiguro,Naonori Ueda,Hiroshi Sawada Subset Infinite Relational Models. AISTATS 2012 db/journals/jmlr/jmlrp22.html#IshiguroUS12 conf/aistats/2012 547-555
919 2019-05-29 journals/jmlr/GuoS10 Shengbo Guo,Scott Sanner Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries. AISTATS 2010 db/journals/jmlr/jmlrp9.html#GuoS10 conf/aistats/2010 289-296
920 2020-09-30 journals/jmlr/LiB07 Xiao Li 0006,Jeff A. Bilmes A Bayesian Divergence Prior for Classiffier Adaptation. AISTATS 2007 db/journals/jmlr/jmlrp2.html#LiB07 conf/aistats/2007 275-282
921 2019-05-29 journals/jmlr/Popescu11 Florin Popescu Robust Statistics for Describing Causality in Multivariate Time Series. NIPS Mini-Symposium on Causality in Time Series 2011 db/journals/jmlr/jmlrp12.html#Popescu11 conf/nips/2009mscts 30-64
922 2019-05-29 journals/jmlr/AzmandianDAK12 Fatemeh Azmandian,Jennifer G. Dy,Javed A. Aslam,David R. Kaeli Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. ACML 2012 db/journals/jmlr/jmlrp25.html#AzmandianDAK12 conf/acml/2012 49-64
923 2019-05-29 journals/jmlr/GlorotB10 Xavier Glorot,Yoshua Bengio Understanding the difficulty of training deep feedforward neural networks. AISTATS 2010 db/journals/jmlr/jmlrp9.html#GlorotB10 conf/aistats/2010 249-256
924 2019-05-29 journals/jmlr/ClemenconV09 Stéphan Clémençon,Nicolas Vayatis On Partitioning Rules for Bipartite Ranking. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ClemenconV09 conf/aistats/2009 97-104
925 2019-05-29 journals/jmlr/SzedmakNG10 Sándor Szedmák,Yizhao Ni,Steve R. Gunn Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. WAPA 2010 db/journals/jmlr/jmlrp11.html#SzedmakNG10 conf/wapa/2010 96-102
926 2019-05-29 journals/jmlr/Baldi12 Pierre Baldi Autoencoders, Unsupervised Learning, and Deep Architectures. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#Baldi12 conf/icml/2011utl 37-50
927 2019-05-29 journals/jmlr/LiuMSZ10 Huan Liu 0001,Hiroshi Motoda,Rudy Setiono,Zheng Zhao Preface. FSDM 2010 db/journals/jmlr/jmlrp10.html#LiuMSZ10 conf/pakdd/2010fsdm 1-3
928 2019-05-29 journals/jmlr/GrubbB12 Alexander Grubb,Drew Bagnell SpeedBoost: Anytime Prediction with Uniform Near-Optimality. AISTATS 2012 db/journals/jmlr/jmlrp22.html#GrubbB12 conf/aistats/2012 458-466
929 2019-05-29 journals/jmlr/WangZH11 Jialei Wang,Jinfeng Zhuang,Steven C. H. Hoi Unsupervised Multiple Kernel Learning. ACML 2011 db/journals/jmlr/jmlrp20.html#WangZH11 conf/acml/2011 129-144
930 2019-05-29 journals/jmlr/ZhouB11 Xueyuan Zhou,Mikhail Belkin Semi-supervised Learning by Higher Order Regularization. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ZhouB11 conf/aistats/2011 892-900
931 2019-05-29 journals/jmlr/WeinbergerT07 Kilian Q. Weinberger,Gerald Tesauro Metric Learning for Kernel Regression. AISTATS 2007 db/journals/jmlr/jmlrp2.html#WeinbergerT07 conf/aistats/2007 612-619
932 2019-05-29 journals/jmlr/WidmerR12 Christian Widmer,Gunnar Rätsch Multitask Learning in Computational Biology. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#WidmerR12 conf/icml/2011utl 207-216
933 2019-05-29 journals/jmlr/PaisleyBJ12 John W. Paisley,David M. Blei,Michael I. Jordan Stick-Breaking Beta Processes and the Poisson Process. AISTATS 2012 db/journals/jmlr/jmlrp22.html#PaisleyBJ12 conf/aistats/2012 850-858
934 2019-05-29 journals/jmlr/JahrerT12a Michael Jahrer,Andreas Töscher Collaborative Filtering Ensemble for Ranking. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#JahrerT12a conf/kdd/2011kddcup 153-167
935 2019-05-29 journals/jmlr/Geurts11 Pierre Geurts Learning from positive and unlabeled examples by enforcing statistical significance. AISTATS 2011 db/journals/jmlr/jmlrp15.html#Geurts11 conf/aistats/2011 305-314
936 2019-05-29 journals/jmlr/Balcazar10 José L. Balcázar Closure-Based Confidence Boost in Association Rules. WAPA 2010 db/journals/jmlr/jmlrp11.html#Balcazar10 conf/wapa/2010 74-80
937 2019-05-29 journals/jmlr/MandhaniM09 Bhushan Mandhani,Marina Meila Tractable Search for Learning Exponential Models of Rankings. AISTATS 2009 db/journals/jmlr/jmlrp5.html#MandhaniM09 conf/aistats/2009 392-399
938 2019-05-29 journals/jmlr/ChuLRS11 Wei Chu,Lihong Li 0001,Lev Reyzin,Robert E. Schapire Contextual Bandits with Linear Payoff Functions. AISTATS 2011 db/journals/jmlr/jmlrp15.html#ChuLRS11 conf/aistats/2011 208-214
939 2019-05-29 journals/jmlr/WangKPJ12 Yuyang Wang,Roni Khardon,Dmitry Pechyony,Rosie Jones Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions. COLT 2012 db/journals/jmlr/jmlrp23.html#WangKPJ12 conf/colt/2012 13.1-13.22
940 2019-05-29 journals/jmlr/ZhangRPPS12 Hang Zhang,Eric Riedl,Valery A. Petrushin,Siddharth Pal,Jacob Spoelstra Committee Based Prediction System for Recommendation: KDD Cup 2011, Track2. KDD Cup 2012 db/journals/jmlr/jmlrp18.html#ZhangRPPS12 conf/kdd/2011kddcup 215-229
941 2019-05-29 journals/jmlr/Klami12 Arto Klami Variational Bayesian Matching. ACML 2012 db/journals/jmlr/jmlrp25.html#Klami12 conf/acml/2012 205-220
942 2019-05-29 journals/jmlr/MezumanW12 Elad Mezuman,Yair Weiss Globally Optimizing Graph Partitioning Problems Using Message Passing. AISTATS 2012 db/journals/jmlr/jmlrp22.html#MezumanW12 conf/aistats/2012 770-778
943 2019-05-29 journals/jmlr/MukherjeeRS11 Indraneel Mukherjee,Cynthia Rudin,Robert E. Schapire The Rate of Convergence of Adaboost. COLT 2011 db/journals/jmlr/jmlrp19.html#MukherjeeRS11 conf/colt/2011 537-558
944 2019-05-29 journals/jmlr/SrivastavaLS12 Radhendushka Srivastava,Ping Li 0001,Debasis Sengupta Testing for Membership to the IFRA and the NBU Classes of Distributions. AISTATS 2012 db/journals/jmlr/jmlrp22.html#SrivastavaLS12 conf/aistats/2012 1099-1107
945 2019-05-29 journals/jmlr/ShiPDLSSV09 Qinfeng Shi,James Petterson,Gideon Dror,John Langford 0001,Alexander J. Smola,Alexander L. Strehl,Vishy Vishwanathan Hash Kernels. AISTATS 2009 db/journals/jmlr/jmlrp5.html#ShiPDLSSV09 conf/aistats/2009 496-503
946 2019-05-29 journals/jmlr/BonillaAW07 Edwin V. Bonilla,Felix V. Agakov,Christopher K. I. Williams Kernel Multi-task Learning using Task-specific Features. AISTATS 2007 db/journals/jmlr/jmlrp2.html#BonillaAW07 conf/aistats/2007 43-50
947 2019-05-29 journals/jmlr/KanadeMB09 Varun Kanade,H. Brendan McMahan,Brent Bryan Sleeping Experts and Bandits with Stochastic Action Availability and Adversarial Rewards. AISTATS 2009 db/journals/jmlr/jmlrp5.html#KanadeMB09 conf/aistats/2009 272-279
948 2019-05-29 journals/jmlr/ChaudhuriH11 Kamalika Chaudhuri,Daniel J. Hsu Sample Complexity Bounds for Differentially Private Learning. COLT 2011 db/journals/jmlr/jmlrp19.html#ChaudhuriH11 conf/colt/2011 155-186
949 2019-05-29 journals/jmlr/YangHC11 Liu Yang 0001,Steve Hanneke,Jaime G. Carbonell The Sample Complexity of Self-Verifying Bayesian Active Learning. AISTATS 2011 db/journals/jmlr/jmlrp15.html#YangHC11 conf/aistats/2011 816-822
950 2019-05-29 journals/jmlr/MaKDCSP10 Justin Ma,Alex Kulesza,Mark Dredze,Koby Crammer,Lawrence K. Saul,Fernando Pereira Exploiting Feature Covariance in High-Dimensional Online Learning. AISTATS 2010 db/journals/jmlr/jmlrp9.html#MaKDCSP10 conf/aistats/2010 493-500
951 2019-05-29 journals/jmlr/LemeireS10 Jan Lemeire,Kris Steenhaut Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#LemeireS10 conf/nips/2008coa 107-120
952 2019-05-29 journals/jmlr/SilvaBT11 Ricardo Bezerra de Andrade e Silva,Charles Blundell,Yee Whye Teh Mixed Cumulative Distribution Networks. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SilvaBT11 conf/aistats/2011 670-678
953 2019-05-29 journals/jmlr/RatliffZPBHDS09 Nathan D. Ratliff,Brian D. Ziebart,Kevin M. Peterson,J. Andrew Bagnell,Martial Hebert,Anind K. Dey,Siddhartha S. Srinivasa Inverse Optimal Heuristic Control for Imitation Learning. AISTATS 2009 db/journals/jmlr/jmlrp5.html#RatliffZPBHDS09 conf/aistats/2009 424-431
954 2019-05-29 journals/jmlr/KimP09 Minyoung Kim,Vladimir Pavlovic Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings. AISTATS 2009 db/journals/jmlr/jmlrp5.html#KimP09 conf/aistats/2009 280-287
955 2019-05-29 journals/jmlr/MaillardMS11 Odalric-Ambrym Maillard,Rémi Munos,Gilles Stoltz A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences. COLT 2011 db/journals/jmlr/jmlrp19.html#MaillardMS11 conf/colt/2011 497-514
956 2020-03-19 journals/jmlr/ReadBHP11 Jesse Read,Albert Bifet,Geoff Holmes 0001,Bernhard Pfahringer Streaming Multi-label Classification. WAPA 2011 db/journals/jmlr/jmlrp17.html#ReadBHP11 conf/wapa/2011 19-25
957 2019-05-29 journals/jmlr/WangTMB09 Chong Wang 0002,Bo Thiesson,Christopher Meek,David M. Blei Markov Topic Models. AISTATS 2009 db/journals/jmlr/jmlrp5.html#WangTMB09 conf/aistats/2009 583-590
958 2019-05-29 journals/jmlr/McMahan11 H. Brendan McMahan Discussion of "Contextual Bandit Algorithms with Supervised Learning Guarantees". AISTATS 2011 db/journals/jmlr/jmlrp15.html#McMahan11 conf/aistats/2011 27-28
959 2019-05-29 journals/jmlr/VennaK07 Jarkko Venna,Samuel Kaski Nonlinear Dimensionality Reduction as Information Retrieval. AISTATS 2007 db/journals/jmlr/jmlrp2.html#VennaK07 conf/aistats/2007 572-579
960 2019-05-29 journals/jmlr/AgarwalBD10 Alekh Agarwal,Peter L. Bartlett,Max Dama Optimal Allocation Strategies for the Dark Pool Problem. AISTATS 2010 db/journals/jmlr/jmlrp9.html#AgarwalBD10 conf/aistats/2010 9-16
961 2019-05-29 journals/jmlr/Niculescu-MizilC12 Alexandru Niculescu-Mizil,Rich Caruana Inductive Transfer for Bayesian Network Structure Learning. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#Niculescu-MizilC12 conf/icml/2011utl 167-180
962 2019-05-29 journals/jmlr/TranPV12a Truyen Tran 0001,Dinh Q. Phung,Svetha Venkatesh Learning From Ordered Sets and Applications in Collaborative Ranking. ACML 2012 db/journals/jmlr/jmlrp25.html#TranPV12a conf/acml/2012 427-442
963 2019-05-29 journals/jmlr/GoldbergZSXN09 Andrew B. Goldberg,Xiaojin Zhu 0001,Aarti Singh,Zhiting Xu 0001,Robert D. Nowak Multi-Manifold Semi-Supervised Learning. AISTATS 2009 db/journals/jmlr/jmlrp5.html#GoldbergZSXN09 conf/aistats/2009 169-176
964 2019-05-29 journals/jmlr/MohanCW11 Ananth Mohan,Zheng Chen,Kilian Q. Weinberger Web-Search Ranking with Initialized Gradient Boosted Regression Trees. Yahoo! Learning to Rank Challenge 2011 db/journals/jmlr/jmlrp14.html#MohanCW11 conf/icml/2010ltr 77-89
965 2019-05-29 journals/jmlr/MonetaCEH11 Alessio Moneta,Nadine Chlass,Doris Entner,Patrik O. Hoyer Causal Search in Structural Vector Autoregressive Models. NIPS Mini-Symposium on Causality in Time Series 2011 db/journals/jmlr/jmlrp12.html#MonetaCEH11 conf/nips/2009mscts 95-114
966 2019-05-29 journals/jmlr/ChatterjeeR10 Shaunak Chatterjee,Stuart J. Russell Why are DBNs sparse? AISTATS 2010 db/journals/jmlr/jmlrp9.html#ChatterjeeR10 conf/aistats/2010 81-88
967 2019-05-29 journals/jmlr/TillmanS10 Robert E. Tillman,Peter Spirtes When causality matters for prediction. NIPS Causality: Objectives and Assessment 2010 db/journals/jmlr/jmlrp6.html#TillmanS10 conf/nips/2008coa 137-146
968 2019-05-29 journals/jmlr/StoyanovRE11 Veselin Stoyanov,Alexander Ropson,Jason Eisner Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure. AISTATS 2011 db/journals/jmlr/jmlrp15.html#StoyanovRE11 conf/aistats/2011 725-733
969 2019-05-29 journals/jmlr/FouldsDABS11 James R. Foulds,Christopher DuBois,Arthur U. Asuncion,Carter T. Butts,Padhraic Smyth A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. AISTATS 2011 db/journals/jmlr/jmlrp15.html#FouldsDABS11 conf/aistats/2011 287-295
970 2019-05-29 journals/jmlr/Zou07 Hui Zou An Improved 1-norm SVM for Simultaneous Classification and Variable Selection. AISTATS 2007 db/journals/jmlr/jmlrp2.html#Zou07 conf/aistats/2007 675-681
971 2019-05-29 journals/jmlr/LazebnikR07 Svetlana Lazebnik,Maxim Raginsky Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. AISTATS 2007 db/journals/jmlr/jmlrp2.html#LazebnikR07 conf/aistats/2007 251-258
972 2019-05-29 journals/jmlr/SituYZ11 Ning Situ,Xiaojing Yuan,George Zouridakis Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening. AISTATS 2011 db/journals/jmlr/jmlrp15.html#SituYZ11 conf/aistats/2011 688-697
973 2019-05-29 journals/jmlr/BorisovTR11 Alexander Borisov,Eugene Tuv,George C. Runger Active Batch Learning with Tree Ensembles. Active Learning and Experimental Design @ AISTATS 2011 db/journals/jmlr/jmlrp16.html#BorisovTR11 conf/aistats/2010w 59-69
974 2019-05-29 journals/jmlr/ArchambeauCOS07 Cédric Archambeau,Dan Cornford,Manfred Opper,John Shawe-Taylor Gaussian Process Approximations of Stochastic Differential Equations. Gaussian Processes in Practice 2007 db/journals/jmlr/jmlrp1.html#ArchambeauCOS07 journals/jmlr/2006gpp 1-16
975 2019-07-18 journals/jmlr/MeierTS12 Franziska Meier,Evangelos A. Theodorou,Stefan Schaal Movement Segmentation and Recognition for Imitation Learning. AISTATS 2012 db/journals/jmlr/jmlrp22.html#MeierTS12 conf/aistats/2012 761-769
976 2019-05-29 journals/jmlr/YamagishiSOKM11 Yuki Yamagishi,Kazumi Saito,Kouzou Ohara,Masahiro Kimura,Hiroshi Motoda Learning Attribute-weighted Voter Model over Social Networks. ACML 2011 db/journals/jmlr/jmlrp20.html#YamagishiSOKM11 conf/acml/2011 263-280
977 2019-05-29 journals/jmlr/AustadF10 Haakon Austad,Nial Friel Deterministic Bayesian inference for the p* model. AISTATS 2010 db/journals/jmlr/jmlrp9.html#AustadF10 conf/aistats/2010 41-48
978 2019-05-29 journals/jmlr/RiihimakiV10 Jaakko Riihimäki,Aki Vehtari Gaussian processes with monotonicity information. AISTATS 2010 db/journals/jmlr/jmlrp9.html#RiihimakiV10 conf/aistats/2010 645-652
979 2019-05-29 journals/jmlr/ZhouJH10 Yang Zhou,Rong Jin,Steven C. H. Hoi Exclusive Lasso for Multi-task Feature Selection. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ZhouJH10 conf/aistats/2010 988-995
980 2019-05-29 journals/jmlr/LeeV08 John Aldo Lee,Michel Verleysen Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. FSDM 2008 db/journals/jmlr/jmlrp4.html#LeeV08 conf/pkdd/2008fsdm 21-35
981 2019-05-29 journals/jmlr/ChandleeFKKHT12 Jane Chandlee,Jie Fu,Konstantinos Karydis,Cesar Koirala,Jeffrey Heinz,Herbert G. Tanner Integrating Grammatical Inference into Robotic Planning. ICGI 2012 db/journals/jmlr/jmlrp21.html#ChandleeFKKHT12 conf/icgi/2012 69-83
982 2020-04-03 journals/jmlr/LiuXGX12 Chuanren Liu,Jianjun Xie,Yong Ge,Hui Xiong 0001 Stochastic Unsupervised Learning on Unlabeled Data. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#LiuXGX12 conf/icml/2011utl 111-122
983 2019-05-29 journals/jmlr/SaeysLP10 Yvan Saeys,Sofie Van Landeghem,Yves Van de Peer Event based text mining for integrated network construction. MLSB 2010 db/journals/jmlr/jmlrp8.html#SaeysLP10 conf/mlsb/2009 112-121
984 2019-05-29 journals/jmlr/ChoromanskaM12a Anna Choromanska,Claire Monteleoni Online Clustering with Experts. ICML On-line Trading of Exploration and Exploitation 2012 db/journals/jmlr/jmlrp26.html#ChoromanskaM12a conf/icml/2011otee 1-18
985 2019-05-29 journals/jmlr/Wieczorek12 Wojciech Wieczorek Induction of Non-Deterministic Finite Automata on Supercomputers. ICGI 2012 db/journals/jmlr/jmlrp21.html#Wieczorek12 conf/icgi/2012 237-242
986 2019-05-29 journals/jmlr/CarvalhoPS09 Carlos M. Carvalho,Nicholas G. Polson,James G. Scott Handling Sparsity via the Horseshoe. AISTATS 2009 db/journals/jmlr/jmlrp5.html#CarvalhoPS09 conf/aistats/2009 73-80
987 2020-08-29 journals/jmlr/LiuQ12 Zhiyong Liu 0001,Hong Qiao A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm. ACML 2012 db/journals/jmlr/jmlrp25.html#LiuQ12 conf/acml/2012 237-252
988 2019-05-29 journals/jmlr/Dimitrakakis10 Christos Dimitrakakis Bayesian variable order Markov models. AISTATS 2010 db/journals/jmlr/jmlrp9.html#Dimitrakakis10 conf/aistats/2010 161-168
989 2019-05-29 journals/jmlr/BellalaBS11 Gowtham Bellala,Suresh K. Bhavnani,Clayton Scott Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach. AISTATS 2011 db/journals/jmlr/jmlrp15.html#BellalaBS11 conf/aistats/2011 155-163
990 2019-05-29 journals/jmlr/DemyanovBRL12 Sergey Demyanov,James Bailey 0001,Kotagiri Ramamohanarao,Christopher Leckie AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. ACML 2012 db/journals/jmlr/jmlrp25.html#DemyanovBRL12 conf/acml/2012 97-112
991 2019-05-29 journals/jmlr/KeplerMB12 Fábio Natanael Kepler,Sérgio L. S. Mergen,Cléo Zanella Billa Simple Variable Length N-grams for Probabilistic Automata Learning. ICGI 2012 db/journals/jmlr/jmlrp21.html#KeplerMB12 conf/icgi/2012 254-258
992 2019-05-29 journals/jmlr/SiracusaF09 Michael Siracusa,John W. Fisher III Tractable Bayesian Inference of Time-Series Dependence Structure. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SiracusaF09 conf/aistats/2009 528-535
993 2019-05-29 journals/jmlr/SukhbaatarMAC11 Sainbayar Sukhbaatar,Takaki Makino,Kazuyuki Aihara,Takashi Chikayama Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets. ACML 2011 db/journals/jmlr/jmlrp20.html#SukhbaatarMAC11 conf/acml/2011 231-246
994 2019-07-22 journals/jmlr/MesnilDGRBGLMDWVCB12 Grégoire Mesnil,Yann N. Dauphin,Xavier Glorot,Salah Rifai,Yoshua Bengio,Ian J. Goodfellow,Erick Lavoie,Xavier Muller,Guillaume Desjardins,David Warde-Farley,Pascal Vincent,Aaron C. Courville,James Bergstra Unsupervised and Transfer Learning Challenge: a Deep Learning Approach. ICML Unsupervised and Transfer Learning 2012 db/journals/jmlr/jmlrp27.html#MesnilDGRBGLMDWVCB12 conf/icml/2011utl 97-110
995 2019-05-29 journals/jmlr/SalakhutdinovH09 Ruslan Salakhutdinov,Geoffrey E. Hinton Deep Boltzmann Machines. AISTATS 2009 db/journals/jmlr/jmlrp5.html#SalakhutdinovH09 conf/aistats/2009 448-455
996 2019-05-29 journals/jmlr/ShivaswamyJ10a Pannagadatta K. Shivaswamy,Tony Jebara Empirical Bernstein Boosting. AISTATS 2010 db/journals/jmlr/jmlrp9.html#ShivaswamyJ10a conf/aistats/2010 733-740
997 2019-05-29 journals/jmlr/SalakhutdinovL10 Ruslan Salakhutdinov,Hugo Larochelle Efficient Learning of Deep Boltzmann Machines. AISTATS 2010 db/journals/jmlr/jmlrp9.html#SalakhutdinovL10 conf/aistats/2010 693-700
998 2019-05-29 journals/jmlr/MartinsSXAF11 André Filipe Torres Martins,Noah A. Smith,Eric P. Xing,Pedro M. Q. Aguiar,Mário A. T. Figueiredo Online Learning of Structured Predictors with Multiple Kernels. AISTATS 2011 db/journals/jmlr/jmlrp15.html#MartinsSXAF11 conf/aistats/2011 507-515
999 2021-01-13 journals/jmlr/XuHG09 Yang Xu 0023,Katherine A. Heller,Zoubin Ghahramani Tree-Based Inference for Dirichlet Process Mixtures. AISTATS 2009 db/journals/jmlr/jmlrp5.html#XuHG09 conf/aistats/2009 623-630
1000 2019-05-29 journals/jmlr/GopalanKM12 Parikshit Gopalan,Adam R. Klivans,Raghu Meka Learning Functions of Halfspaces using Prefix Covers. COLT 2012 db/journals/jmlr/jmlrp23.html#GopalanKM12 conf/colt/2012 15.1-15.10