COLT: Computational Learning Theory

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2017 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
COLT 2016 Conference on Learning Theory
Jun 23, 2016 - Jun 26, 2016 New York, NY, USA Feb 12, 2016
COLT 2015 Conference on Learning Theory 2015
Jul 3, 2015 - Jul 3, 2015 Paris, France Feb 19, 2015
COLT 2014 Conference on Learning Theory
Jun 13, 2014 - Jun 15, 2014 Barcelona, Spain Feb 7, 2014
COLT 2013 26th Annual Conference on Learning Theory
Jun 12, 2013 - Jun 14, 2013 Princeton, NJ, USA Feb 8, 2013
COLT 2012 25th Annual Conference on Learning Theory
Jun 25, 2012 - Jun 27, 2012 Edinburgh, Scotland Feb 14, 2012
COLT 2011 The 24rd Annual Conference on Learning Theory
Jul 9, 2011 - Jul 11, 2011 Budapest, Hungary Feb 11, 2011
COLT 2010 The 23rd International Conference on Learning Theory
Jun 27, 2010 - Jun 29, 2010 Haifa, Israel Feb 19, 2010
COLT 2009 The 22nd Annual Conference on Learning Theory
Jun 18, 2009 - Jun 21, 2009 Montreal, Canada Feb 13, 2009
COLT 2008 Conference on Learning Theory
Jul 9, 2008 - Jul 12, 2008 Helsinki, Finland Feb 20, 2008
 
 

Present CFP : 2016

We invite submissions of papers addressing theoretical aspects of machine learning and related topics. We strongly support a broad definition of learning theory, including, but not limited to:

Design and analysis of learning algorithms
Statistical and computational complexity of learning
Optimization models and algorithms for learning
Unsupervised, semi-supervised, and active learning
Online learning
Artificial neural networks, including deep learning
Learning with large-scale datasets
Decision making under uncertainty
Bayesian methods in learning
High dimensional and non-parametric statistical inference
Planning and control, including reinforcement learning
Learning with additional constraints: e.g. privacy, memory or communication budget
Learning in other settings: e.g. social, economic, and game-theoretic
Analysis and applications of learning theory in related fields: natural language processing, neuroscience, bioinformatics, privacy and security, machine vision, information retrieval
Submissions by authors who are new to COLT are encouraged. While the primary focus of the conference is theoretical, the authors are encouraged to support their analysis by including relevant experimental results.

The conference will be co-located with ICML (held on June 19-24) and will feature plenary talks by David Donoho (Stanford), Ravi Kannan (Microsoft Research) and Ronitt Rubinfeld (MIT and Tel Aviv University).

All accepted papers will be presented in a single track at the conference, either as a longer (20 minutes) or a shorter (10 minute) talk. At least one of each paper’s authors should be present at the conference to present the work. Accepted papers will be published electronically in the JMLR Workshop and Conference Proceedings series. The authors of accepted papers will have the option of opting-out of the proceedings in favor of an extended abstract. The full paper reviewed for COLT will then be placed on the arXiv repository.

COLT will award both best paper and best student paper awards. To be eligible for the best student paper award, the primary contributor(s) must be full-time students at the time of submission. For eligible papers, authors must indicate (using a footnote on the first page of the paper) at submission time if they wish their paper to be considered for a student paper award. The program committee may decline to make these awards, or may split them among several papers.

Submissions that are substantially similar to versions that have been previously published, accepted for publication, or submitted in parallel to other conferences may not be submitted to COLT. For further details regarding the policy of dual submissions, consult the website.

There is no page limit for the submission. However, the submission should contain, within its first 12 (or fewer) pages, a concise and clear presentation of the paper’s contributions, including prior work and key technical ideas and methods used to achieve the main claims. The submission should also allow reviewers to easily expand their understanding of any of the specifics to the extent they deem important to the evaluation of the submission. In particular, submissions should include all of the ideas necessary for an expert to fully verify the central claims in the paper. Further formatting and submission instructions can be found here.

Rebuttal Phase: As in previous years, there will be a rebuttal phase during the review process. Initial reviews will be sent to authors before final decisions have been made. Authors will have the opportunity to provide a short response on the PC’s initial evaluation.

Open Problems Session: We also invite submission of open problems. A separate call for open problems will be made available on the conference website.

Important Dates:

Paper submission deadline: February 12, 2016, 11:00 PM EST
Author feedback: April 1-7, 2016
Author notification: April 25, 2016
Conference: June 23-26, 2016
 

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