COLT: Computational Learning Theory

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
COLT 2020 Conference on Learning Theory (COLT)
Jul 9, 2020 - Jul 12, 2020 Graz, Austria Jan 31, 2020
COLT 2019 Computational Learning Theory
Jun 25, 2019 - Jun 29, 2019 Phoenix, AZ, USA Feb 1, 2019
COLT 2018 Computational Learning Theory
Jul 5, 2018 - Jul 9, 2018 Stockholm, Sweden Feb 16, 2018
COLT 2017 Computational Learning Theory
Jul 7, 2017 - Jul 10, 2017 Amsterdam, Netherlands Feb 17, 2017
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 : 2020



The 33rd Annual Conference on Learning Theory (COLT 2020) will take place in Graz, Austria during July 9-12, 2020. 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 methods for learning, and/or online and/or stochastic optimization
Supervised learning
Unsupervised and semi-supervised learning
Active and interactive learning
Reinforcement learning
Online learning and decision-making
Interactions of learning theory with other mathematical fields
Theory of artificial neural networks, including (theory of) deep learning
High-dimensional and non-parametric statistics
Learning with algebraic or combinatorial structure
Theoretical analysis of probabilistic graphical models
Bayesian methods in learning
Game theory and learning
Learning with system constraints (e.g., privacy, fairness, memory, communication)
Learning from complex data (e.g., networks, time series)
Learning in other settings (e.g., computational social science, economics)

Submissions by authors who are new to COLT are encouraged. While the primary focus of the conference is theoretical, authors may support their analysis by including relevant experimental results.

All accepted papers will be presented at the conference as both oral talks and in a poster session. At least one author of each accepted paper should be present at the conference to present the work. Accepted papers will be published electronically in the Proceedings of Machine Learning Research (PMLR). Authors of accepted papers will have the option of opting out of the proceedings in favor of a 1-page extended abstract, which will point to an open access archival version of the full paper reviewed for COLT.
PAPER AWARDS

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 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.
DUAL SUBMISSIONS POLICY

Conferences: In general, submissions that are substantially similar to papers that have been previously published, accepted for publication, or submitted in parallel to other peer-reviewed conferences with proceedings may not be submitted to COLT. The only exception is for papers under submission to STOC 2020, as detailed below.

Dual submission with STOC 2020: The STOC 2020 notification date falls 9 days after the COLT 2020 submission deadline. In coordination with the STOC 2020 program chair, we will allow submissions that are substantially similar to papers that have been submitted to STOC 2020, provided that the authors (1) declare such dual submissions through the submission server, and (2) immediately withdraw the COLT submission if the STOC submission is accepted.

Journals: As with conferences, in general, submissions that are substantially similar to papers that have been previously published, accepted for publication, or submitted in parallel to journals may not be submitted to COLT. The only exception is when the submission to COLT is a short version of a paper submitted to a journal, and not yet published. Authors must declare such dual submissions through the submission server.
FORMATTING

Submissions are limited to 12 PMLR-formatted pages, plus unlimited 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. Detailed formatting and submission instructions will be available on the conference website 6 weeks prior to the submission deadline: http://learningtheory.org/colt2020/.
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 an opportunity to provide a short response to the initial reviews.
IMPORTANT DATES

(All dates are in 2020.)

Paper submission deadline: January 31, 4:00 PM PST
Author feedback: March 28 - April 3
Author notification: May 1
Conference: July 9-12

 

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