OPT 2008

Event

Name	Value
isA	Event
Acronym	OPT 2008
Title	Optimization for Machine Learning (NIPS Workshop 2008)
Start date	Dec 12, 2008
End date	Dec 13, 2008
Homepage	opt2008.kyb.tuebingen.mpg.de/
...	...

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
  • Problems with sparsity constraints
  • Sparse PCA
  • Non-negative matrix and tensor approximation
  • Non-convex quadratic programming
• Combinatorial and Discrete Optimization example problems in ML include
  • Estimating MAP solutions to discrete random fields
  • Clustering and graph-partitioning
  • Semi-supervised and multiple-instance learning
  • Feature and subspace selection
• Stochastic, Parallel and Online Optimization example problems in ML include
  • Massive data sets
  • Distributed learning algorithms
• Algorithms and Techniques especially with a focus on an underlying application
  • Polyhedral combinatorics, polytopes and strong valid inequalities
  • Linear and higher-order relaxations
  • Semidefinite programming relaxations
  • Decomposition for large-scale, message-passing and online learning
  • Global and Lipschitz optimization
  • Algorithms for non-smooth optimization
  • 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