posted by user: tirvus || 4395 views || tracked by 9 users: [display]

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:

Related Resources

MLDM 2023   18th International Conference on Machine Learning and Data Mining
Distributed ML and Opt. 2023   Distributed Machine Learning and Optimization: Theory and Applications
CFDSP 2023   2023 International Conference on Frontiers of Digital Signal Processing (CFDSP 2023)
JCRAI 2022-Ei Compendex & Scopus 2022   2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022)
IJCNN 2023   International Joint Conference on Neural Networks
WSPML 2022   2022 4rd International Workshop on Signal Processing and Machine Learning (WSPML 2022)
MLDM 2023   19th International Conference on Machine Learning and Data Mining
WSDM 2023   Web Search and Data Mining
ICMLT--Ei, Scopus 2023   2023 8th International Conference on Machine Learning Technologies (ICMLT 2023)--EI Compendex, Scopus
ACM-Ei/Scopus-ITNLP 2022   2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex