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OPT 2010 : Optimization for Machine Learning, 3rd Int. (NIPS) Workshop.


When Dec 10, 2010 - Dec 10, 2010
Where Whistler, Canada
Submission Deadline Oct 24, 2010
Notification Due Nov 12, 2010
Final Version Due Nov 20, 2010
Categories    machine learning   optimization   parallel   signal processing

Call For Papers

We invite high quality submissions for presentation (talks or poster presentations), or open problems during the workshop. We are especially interested in participants who can contribute theory / algorithms, applications, or implementations with a machine learning focus in the following areas:

* Stochastic, Parallel and Online Optimization:
o Large-scale learning, massive data sets
o Distributed algorithms
o Optimization on massively parallel architectures
o Optimization using GPUs, Streaming algorithms
o Decomposition for large-scale, message-passing and online learning
o Stochastic approximation
o Randomized algorithms
* Algorithms and Techniques (application oriented):
o Global and Lipschitz optimization
o Algorithms for non-smooth optimization
o Linear and higher-order relaxations
o Polyhedral combinatorics applications to ML problems
* Non-Convex Optimization:
o Non-convex quadratic programming, including binary QPs
o Convex Concave Decompositions, D.C. Programming, EM
o Training of deep architectures and large hidden variable models
o Approximation Algorithms
* Optimization with Sparsity constraints:
o Combinatorial methods for L0 norm minimization
o L1, Lasso, Group Lasso, sparse PCA, sparse Gaussians
o Rank minimization methods
o Feature and subspace selection
* Combinatorial Optimization:
o Optimization in Graphical Models
o Structure learning
o MAP estimation in continuous and discrete random fields
o Clustering and graph-partitioning
o Semi-supervised and multiple-instance learning

Submission Instructions

* The submissions should be ideally 4 pages long. Hard-limit: 6 pages.
* Open Problems may be of any length within the hard-limits
* The review process will be double-blind
* Please use the NIPS 2010 format for your submissions
* Submit at:

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