Difference between revisions of "OPT 2008"
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| Camera ready = Nov 20, 2008 | | Camera ready = Nov 20, 2008 | ||
| Acronym= OPT 2008 | | Acronym= OPT 2008 | ||
| − | | End date= 2008 | + | | End date= 2008-12-13 |
| Type = Workshop | | Type = Workshop | ||
| Country= CA | | Country= CA | ||
| State = CA/BC | | State = CA/BC | ||
| City = CA/BC/Whistler | | City = CA/BC/Whistler | ||
| + | | Year = 2008 | ||
| Homepage= opt2008.kyb.tuebingen.mpg.de/ | | Homepage= opt2008.kyb.tuebingen.mpg.de/ | ||
| − | | Start date= 2008 | + | | Start date= 2008-12-12 |
| Title = Optimization for Machine Learning (NIPS Workshop 2008) | | Title = Optimization for Machine Learning (NIPS Workshop 2008) | ||
}} | }} | ||
Latest revision as of 03:24, 6 December 2021
Event Rating
| median | worst |
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List of all ratings can be found at OPT 2008/rating
| OPT 2008 | |
|---|---|
Optimization for Machine Learning (NIPS Workshop 2008)
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| Dates | 2008-12-12 (iCal) - 2008-12-13 |
| Homepage: | opt2008.kyb.tuebingen.mpg.de/ |
| Location | |
| Location: | CA/BC/Whistler, CA/BC, CA |
| Important dates | |
| Submissions: | Oct 17, 2008 |
| Notification: | Nov 7, 2008 |
| Camera ready due: | Nov 20, 2008 |
| Table of Contents | |
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