Conference Information
COLT 2022: Annual Conference on Learning Theory
https://www.learningtheory.org/colt2022/
Submission Date:
2022-02-09
Notification Date:
Conference Date:
2022-07-02
Location:
London, UK
Years:
35
CCF: b   CORE: a*   QUALIS: a2   Viewed: 51361   Tracked: 113   Attend: 13

Call For Papers
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
    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
Last updated by Dou Sun in 2021-12-05
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
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%
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Related Journals
CCFFull NameImpact FactorPublisherISSN
Mechanism and Machine Theory3.866Elsevier0094-114X
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ACM Transactions on Computation TheoryACM1942-3454
aIEEE Transactions on Information Theory2.728IEEE0018-9448
International Journal of Swarm Intelligence ResearchIGI Global Publishing1947-9263
bMachine Learning2.940Springer0885-6125
Measurement and Control1.229SAGE0020-2940
Law, Innovation and TechnologyTaylor & Francis1757-9961
aJournal of Machine Learning Research Microtome Publishing1532-4435
IEEE Communications Surveys & Tutorials22.97IEEE2373-745X
Full NameImpact FactorPublisher
Mechanism and Machine Theory3.866Elsevier
Language Learning & Technology2.571University of Hawaii Press
ACM Transactions on Computation TheoryACM
IEEE Transactions on Information Theory2.728IEEE
International Journal of Swarm Intelligence ResearchIGI Global Publishing
Machine Learning2.940Springer
Measurement and Control1.229SAGE
Law, Innovation and TechnologyTaylor & Francis
Journal of Machine Learning Research Microtome Publishing
IEEE Communications Surveys & Tutorials22.97IEEE
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