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OPT 2014 - 7th NIPS Workshop on Optimization for Machine Learning



VenueQuebec, Canada Canada



Topics/Call fo Papers

OPT 2014 - 7th NIPS Workshop on Optimization for Machine Learning
December 12th , 2014, Montreal, Quebec, Canada
Important Dates:
Deadline for submission of papers: 9th October, 2014
Notification of acceptance: 23rd October, 2014
Invited Talks:
* Jean Bernard Lasserre (CNRS, France)
* Yoshua Bengio (University of Montreal, Canada)
* Amir Beck (Technion, Israel)
Optimization lies at the heart of many machine learning algorithms and
enjoys great interest in our community. Indeed, this intimate relation
of optimization with ML is the key motivation for the OPT series of
workshops. We aim to foster discussion, discovery, and dissemination
of the state-of-the-art in optimization relevant to ML.
This year, the workshop's special topic will be the challenges in
non-convex optimization, with contributions spanning both the
challenges (hardness results) and the opportunities (modeling
flexibility) of non-convex optimization. Irrespective of the special
topic, contributions on convex optimization are still encouraged.
We invite participation in the 7th International Workshop on
"Optimization for Machine Learning", to be held as a part of the NIPS
2014 conference. This year we invite two types of submissions to the
(i) contributed talks and/or posters
(ii) open problems
For the latter, we request the authors to prepare a few slides that
clearly present, motivate, and explain an important open problem ---
the main aim here is to foster active discussion. Our call for open
problems is modeled after a similar session that takes place at COLT.
The topics of interest for the open problem session are the same as
those for regular submissions; please see below for details.
In addition to open problems, we invite high quality submissions for
presentation as talks or poster presentations during the workshop. We
are especially interested in participants who can contribute theory /
algorithms, applications, or implementations with a machine learning
focus. The main topics are, including, but not limited to:
* Nonconvex Optimization
* Stochastic, Parallel and Online Optimization,
* Algorithms and Techniques (application oriented)
* Optimization with Sparsity constraints
* Combinatorial Optimization
* Advanced optimization techniques
* Numerical optimization
Submission Instructions:
Page limit: 4 pages (without references)
Submission url:
Submission deadline: October 9, 2014.
Notification of acceptance: October 23, 2014.
Please use the NIPS 2014 submission format
Please make submission double blind
If you are doing a dual submission, please contact us first.
Please note that at least one author of each accepted paper must be
available to present the paper at the workshop. Further details
regarding the submission process are available at the workshop
Looking forward to another great OPT workshop!
Organizing Committee:
Suvrit Sra (Max Planck Institute, Tuebingen)
Alekh Agarwal (MSR New York)
Miro Dudik (MSR New York)
Zaid Harchaoui (INRIA, Grenoble)
Martin Jaggi (ETH Zurich)
Aaditya Ramdas (Carnegie Mellon University)
with senior advisory support from
Arkadi Nemirovskii and Stephen J. Wright.

Last modified: 2014-08-28 23:03:05