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COLT is the leading international conference in learning theory, established in 1988.
COLT proceedings present research addressing the theoretical modeling and analysis of all aspects of learning and empirical inference, including:
Analysis of learning algorithms and their generalization ability
Computational complexity of learning
Statistical mechanics of learning systems
Optimization procedures for learning
Boolean function learning
Unsupervised and semi-supervised learning and clustering
On-line learning and relative loss bounds
Learning in planning and control (including reinforcement learning)
Mathematical analysis of learning in related fields
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