posted by user: tirvus || 4835 views || tracked by 9 users: [display]

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

FacebookTwitterLinkedInGoogle

Link: http://opt.kyb.tuebingen.mpg.de
 
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: http://www.easychair.org/conferences/?conf=opt2010

Related Resources

CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
IEEE COINS 2024   IEEE COINS 2024 - London, UK - July 29-31 - Hybrid (In-Person & Virtual)
ICMLA 2024   23rd International Conference on Machine Learning and Applications
ICDM 2024   IEEE International Conference on Data Mining
ECAI 2024   27th European Conference on Artificial Intelligence
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
ACML 2024   16th Asian Conference on Machine Learning
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
EAIH 2024   Explainable AI for Health