Difference between revisions of "ALT 2020"

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Latest revision as of 04:21, 6 December 2021

Event Rating

median	worst

List of all ratings can be found at ALT 2020/rating

ALT 2020
31st International Conference on Algorithmic Learning Theory
Ordinal	31
Event in series	ALT
Dates	2020-02-08 (iCal) - 2020-02-11
Homepage:	http://alt2020.algorithmiclearningtheory.org/
Location
Location:	US/CA/San Diego, US/CA, US
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Important dates
Papers:	2019/09/20
Submissions:	2019/09/20
Notification:	2019/11/24

Papers:	Submitted 128 / Accepted 38 (29.7 %)
Committees
PC chairs:	Aryeh Kontorovich, Gergely Neu
PC members:	Yasin Abbasi-Yadkori, Pierre Alquier, Shai Ben-David, Nicolò Cesa-Bianchi, Andrew Cotter, Ilias Diakonikolas
Table of Contents
Contents 1 Event Rating 2 Topics

Topics

Design and analysis of learning algorithms.
Statistical and computational learning theory.
Online learning algorithms and theory.
Optimization methods for learning.
Unsupervised, semi-supervised and active learning.
Interactive learning, planning and control, and reinforcement learning.
Connections of learning with other mathematical fields.
Artificial neural networks, including deep learning.
High-dimensional and non-parametric statistics.
Learning with algebraic or combinatorial structure.
Bayesian methods in learning.
Learning with system constraints: e.g. privacy, memory or communication budget.
Learning from complex data: e.g., networks, time series.
Interactions with statistical physics.
Learning in other settings: e.g. social, economic, and game-theoretic.

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Acceptance rate

29.7 +

AcronymThis property is of the datatype Text and it is being used to provide the acronym of an academic event or an event series.It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.

ALT 2020 +

End dateThis property is of the datatype Date and it is being used to provide the end date of an academic event or a project.This property is aligned with icaltzd:dtend.It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.

February 11, 2020 +

Event in seriesThe property Event in series, of the datatype Page, is used to state that an academic event is part of a specific academic event series. Although this property is not needed for the DOI registration process via DataCite its usage is strongly recommended.

ALT +

Event typeThis property of the datatype Text is used to specify the format of an academic event. The use of this property is recommended. It is necessary for the DOI registration process via DataCite.

Conference +

Has location cityThe property Has location city can be used to specify the city where a street, building, event, etc. is located in.It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location country, property:Has location state and property:Has location address.When specifying the city in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.

US/CA/San Diego +

Has location countryThe property Has location country is used to describe the country where something is located in.It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location city, property:Has location state and property:Has location address.When specifying the country in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.

US +

Has year

2020 +

HomepageThis property is of the datatype URL and it is being used to provide the official website of an academic event or an event series.It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.

http://alt2020.algorithmiclearningtheory.org/ +

IsA

Event +

OrdinalThis property of the datatype Number represents the ordinal number of an event within an event series. Thereby it informs about the age of an event series. This property is not needed for the DOI registration process via DataCite and is optional.

31 +

Start dateThis property is of the datatype Date and it is being used to provide the start date of an academic event or a project.This property is aligned with icaltzd:dtstart. It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.

February 8, 2020 +

@@ Line 6: / Line 6: @@
 |Has PC member=Yasin Abbasi-Yadkori, Pierre Alquier, Shai Ben-David, Nicolò Cesa-Bianchi, Andrew Cotter, Ilias Diakonikolas
 |Acronym=ALT 2020
-|End date=2020/02/11
+|End date=2020-02-11
 |Series =ALT
 |Type   =Conference
@@ Line 12: / Line 12: @@
 |State  =US/CA
 |City   =US/CA/San Diego
+|Year   =2020
 |Homepage=http://alt2020.algorithmiclearningtheory.org/
 |Ordinal=31
-|Start date=2020/02/08
+|Start date=2020-02-08
 |Title  =31st International Conference on Algorithmic Learning Theory
 |Accepted papers=38
-|Submitted papers=128}}
+|Submitted papers=128
+}}
 == Topics ==
 * Design and analysis of learning algorithms.

Difference between revisions of "ALT 2020"

Latest revision as of 04:21, 6 December 2021

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