COLT: Computational Learning Theory

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2016 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
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 : 2015



The 28th Annual Conference on Learning Theory (COLT 2015) will take place in Paris, France, on July 3-6, 2015.

We invite submissions of papers addressing theoretical aspects of machine learning and related topics. Submissions by authors who are new to COLT are encouraged. We strongly support a broad definition of learning theory, including, but not limited to:

• Design and analysis of learning algorithms and their generalization ability
• Statistical and computational complexity of learning
• Optimization models and algorithms for learning
• Unsupervised, semi-supervised learning, and clustering
• Online learning
• Deep learning and artificial neural networks
• Decision making under uncertainty
• Bayesian Theory
• Kernel Methods
• High dimensional and non-parametric empirical inference, including sparsity methods
• Planning and control, including reinforcement learning
• Learning with additional constraints: E.g. privacy, time or memory budget, communication
• 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, data mining, information retrieval.

We are also interested in papers that include viewpoints that are new to the COLT community. We welcome experimental and algorithmic papers provided they are relevant to the focus of the conference by elucidating theoretical results. Also, while the primary focus of the conference is theoretical, papers can be strengthened by the inclusion of relevant experimental results.

COLT will award both best paper and best student paper awards. Best student papers must be authored or coauthored by a student. Authors must indicate (using a footnote on the first page of the paper) at submission time if they wish their paper to be eligible for a student award. This does not preclude the paper to be eligible for the best paper award. The program committee may decline to make these awards, or may split them among several papers.

Papers that are currently under review or have already been accepted or published in a refereed venue, including conferences and journals, may not be submitted.

Accepted papers will be published electronically, in the JMLR Workshop and Conference Proceedings series. Selected papers will be invited to a special issue of JMLR and/or MLJ. The authors of accepted papers will have the option of opting-out of the proceedings in favor of a 1-page abstract. The full paper reviewed for COLT will then be placed on the ArXiV repository and linked from the conference webpage.

All accepted papers will be plenarily presented at the conference, either as a long or as a short talk. At least one of the paper's authors should be present at the conference to present the work.

Rebuttal Phase:
As in the previous years, we will have 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 at the conference website.

Submission Instructions:
Submissions are limited to 12 JMLR-formatted pages, plus additional pages for references and appendices. All details, proofs and derivations required to substantiate the results must be included in the submission, possibly in the appendices. However, the contribution, novelty and significance of submissions will be judged primarily based on the main text (without appendices), and so enough details, including proof details, must be provided in the main text to convince the reviewers of the submissions' merits.

Formatting and submission instructions can be found here..

Important Dates:
• Paper submission deadline: February 19th, 2015, 11:00 PM EST
• Author Feedback: April 7-12, 2014
• Author notification: May 1, 2015
• Conference: July 3-6, 2015
 

Related Resources

ICML 2015   International Conference on Machine Learning 2015
IJCNN 2015   International Joint Conference on Neural Networks
COLT 2014   Conference on Learning Theory
PAML 2015   Journal of Neural Computing and Applications (Springer), Special Issue on Predictive Analytics Using Machine Learning
ML and CI in Big Data 2015   Special Issue on Machine Learning and Computational Intelligence in Big Data
GECCO 2015   Genetic and Evolutionary Computation Conference
JWS-ML 2014   Journal of Web Semantics Special Issue on Machine Learning and Data Mining for the Semantic Web
ICLR 2015   International Conference on Learning Representations 2015
VISAPP 2015   International Conference on Computer Vision Theory and Applications
NIPS Modern ML+NLP 2014   Workshop on Modern Machine Learning & Natural Language Processing