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OPT 2008 : Optimization for Machine Learning (NIPS Workshop 2008)

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Link: http://opt2008.kyb.tuebingen.mpg.de/
 
When Dec 12, 2008 - Dec 13, 2008
Where Whistler, Canada
Submission Deadline Oct 17, 2008
Notification Due Nov 7, 2008
Final Version Due Nov 20, 2008
Categories    machine learning   optimization
 

Call For Papers

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

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