About |
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. |
Call for Papers |
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:
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 AWARDSCOLT 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 POLICYConferences: 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. SUBMISSION INSTRUCTIONSSee Submission Instructions page. REBUTTAL PHASEAs 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.)
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Summary |
COLT 2020 : Conference on Learning Theory will take place in Graz, Austria. It’s a 4 days event starting on Jul 09, 2020 (Thursday) and will be winded up on Jul 12, 2020 (Sunday). COLT 2020 falls under the following areas: COMPUTATIONAL THEORY, MATHEMATICS, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, COMPUTER SCHIENCE, etc. Submissions for this Conference can be made by Jan 31, 2020. Authors can expect the result of submission by May 01, 2020. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the COLT 2020
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Credits and Sources |
[1] COLT 2020 : Conference on Learning Theory |