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COLT 2026: Annual Conference on Learning Theory

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COLT
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투고 마감일:
2026-02-04
통보일:
2026-05-04
개최일:
2026-06-29
개최지:
San Diego, California, USA
개최 횟수:
39
CCF: B   ICORE: A*   QUALIS: A2   조회: 367001   팔로우: 114   참가: 14

회반 지수 (CP-I)

89.2 / 100
전체 5,682개 중 83위 · 상위 2%

인공지능·기계학습 분야 739개 중 9위

학술적 인정 (35%)
100
투고 선별성 (20%)
79
개최 횟수 (20%)
99
커뮤니티 관심도 (10%)
65
공개 자료 충실도 (15%)
80

사용한 입력: 수록 등급: CCF B, QUALIS A2 · 게재율: 29.3%(기록이 있는 5개 회차의 평균) · 확인되는 개최 횟수: 39 · 회반에서 팔로우 중인 연구자: 114명 · 지난 24개월 동안 이 페이지를 연 연구자: 12명

공개 자료에서 빠진 항목: 역대 회차 (+3.0)
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신뢰도 100% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-18

논문 모집

COLT 2026 (Annual Conference on Learning Theory) is a CCF B / ICORE A* / QUALIS A2 conference held in San Diego, California, USA on 2026-06-29. The paper submission deadline is 2026-02-04. Acceptance notifications are sent on 2026-05-04.

The 39th Annual Conference on Learning Theory (COLT 2026) will take place June 29-July 3, 2026 in San Diego, USA. We invite submissions of papers addressing theoretical aspects of machine learning, broadly defined as a subject at the intersection of computer science, statistics and applied mathematics. We strongly support an inclusive view of learning theory, including fundamental theoretical aspects of learnability in various contexts, and theory that sheds light on empirical phenomena. The topics include but are not limited to: Design and analysis of learning algorithms Statistical and computational complexity of learning Optimization methods for learning, including online and stochastic optimization Theory of artificial neural networks, including deep learning Theoretical explanation of empirical phenomena in learning Supervised learning Unsupervised, semi-supervised learning, domain adaptation Learning geometric and topological structures in data, manifold learning Active and interactive learning Reinforcement learning Online learning and decision-making Interactions of learning theory with other mathematical fields High-dimensional and non-parametric statistics Kernel methods Causality Sampling 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 neuroscience, social science, economics and other subjects Quantum learning theory Submissions by authors who are new to COLT are encouraged. While the primary focus of the conference is theoretical, authors are welcome to support their analysis with relevant experimental results. Accepted papers will be presented at the conference. At least one author of each accepted paper should present the work at the conference. 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.
최종 수정: Dou Sun ()

게재율

평균 게재율: 36.7% 17년간 (2000–2020).

연도투고 수게재 수게재율(%)
202038812030.9%
201939311830%
20183359127.2%
20172287432.5%
20162035326.1%
20151786234.8%
20141405237.1%
20131314735.9%
20121264132.5%
20081264434.9%
2007924144.6%
20061024342.2%
20051204537.5%
20041074441.1%
2003924953.3%
2002552647.3%
20001726236%

베스트 페이퍼

이 항목을 본 사람들이 함께 본 항목

CCFICORECP-I약칭정식 명칭투고 마감개최일
AA*96.8The Web ConferenceThe ACM Web Conference2026-10-182027-05-10
BB92.7COLINGInternational Conference on Computational Linguistics2026-10-122027-05-09

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CCFICORECP-I약칭정식 명칭투고 마감개최일
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BA*94.1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.4PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13
BA76.5ICMEInternational Conference on Multimedia and Expo2025-12-312026-07-05
B84.4BIBMInternational Conference on Bioinformatics & Biomedicine2026-07-052026-12-01
BA*94.1ICDMInternational Conference on Data Mining2026-06-062026-11-12
BA*89.0ECCVEuropean Conference on Computer Vision2026-03-062026-09-08
BA92.8DATEDesign, Automation and Test in Europe2026-09-072027-03-22
BA*83.8KRInternational Conference on the Principles of Knowledge Representation and Reasoning2026-02-082026-07-20

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212
BInformation Processing & Management6.9Elsevier0306-4573
BIEEE Transactions on Robotics10.5IEEE1552-3098

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