COLT 2021 : Conference on Learning Theory (COLT)

in Conferences   Posted on February 3, 2021 

Conference Information

Submission Deadline Friday 29 Jan 2021 Proceedings indexed by :
Conference Dates Jul 7, 2021 - Jul 10, 2021
Conference Address Boulder, United States
Conference & Submission Link http://learningtheory.org/colt2021/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 4.79
#Contributing Top Scientists 28
#Papers published by Top Scientists 38
Google Scholar H5-index 54
Number of Editions: 34 (Since 1988)
Guide2Research Overall Ranking: 107
Category Rankings
Computational Theory and Mathematics 10
Databases & Information Systems 19
Machine Learning & Artificial Intelligence 36
Proceedings http://proceedings.mlr.press/
DBLP Page https://dblp.uni-trier.de/db/conf/colt

Conference 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

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