COLT 2020 : Conference on Learning Theory (COLT)

  in Conferences   Posted on November 9, 2019

Conference Information

Submission Deadline Friday 31 Jan 2020 Proceedings indexed by :
Conference Dates Jul 9, 2020 - Jul 12, 2020
Conference Address Graz, Austria
Conference & Submission Link http://learningtheory.org/colt2020/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 52
Category Rankings
Computational Theory and Mathematics 7
Machine Learning & Arti. Intelligence 18
Databases & Information Systems 9
Number of Editions: 33 ( since 1988 )
CORE 2018 Rating: A*
DBPL Proceedings

Google Scholar H5-index:
48

Conference Call for Papers

The 33rd Annual Conference on Learning Theory (COLT 2020) takes place in Graz, Austria from July 9–12. It is conveniently close in space and time to ICML 2020, which takes place in Vienna immediately after COLT.

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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