OPT 2008
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| OPT 2008 | |
|---|---|
Optimization for Machine Learning (NIPS Workshop 2008)
| |
| Dates | Dec 12, 2008 (iCal) - Dec 13, 2008 |
| Homepage: | opt2008.kyb.tuebingen.mpg.de/ |
| Location | |
| Location: | Whistler, Canada |
| Important dates | |
| Submissions: | Oct 17, 2008 |
| Notification: | Nov 7, 2008 |
| Camera ready due: | Nov 20, 2008 |
| Table of Contents | |
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We invite high quality submissions for presentation as talks or posters during the workshop. We are especially interested in participants who can contribute in the following areas:
* Non-Convex Optimization
example problems in ML include
o Problems with sparsity constraints
o Sparse PCA
o Non-negative matrix and tensor approximation
o Non-convex quadratic programming
* Combinatorial and Discrete Optimization
example problems in ML include
o Estimating MAP solutions to discrete random fields
o Clustering and graph-partitioning
o Semi-supervised and multiple-instance learning
o Feature and subspace selection
* Stochastic, Parallel and Online Optimization
example problems in ML include
o Massive data sets
o Distributed learning algorithms
* Algorithms and Techniques
especially with a focus on an underlying application
o Polyhedral combinatorics, polytopes and strong valid inequalities
o Linear and higher-order relaxations
o Semidefinite programming relaxations
o Decomposition for large-scale, message-passing and online learning
o Global and Lipschitz optimization
o Algorithms for non-smooth optimization
o Approximation Algorithms
The above list is not exhaustive, and we welcome submissions on highly related topics too.
* Deadline for submission of papers: 17th October 2008
* Notification of acceptance: 7th November 2008
* Final version of submission: 20th November 2008
* Workshop date: 12th or 13th December 2008
This CfP was obtained from WikiCFP