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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 online learning Sparsity and Alogrithms Dimensionality and Optimization Bandits Noise Active Learning and Stability Additional InformationClick here to view Table of Contents.
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