International Conference on Learning Theory ICLT on August 10-11, 2023 in Baku, Azerbaijan

Analysis of learning algorithms and their generalization ability Analysis of learning in related fields: natural language processing, neuroscience, bioinformatics, privacy and security, machine vision, data mining, information retrieval Bayesian analysis Boolean function learning Computational complexity of learning Design and analysis of learning algorithms and their generalization ability High dimensional and non-parametric empirical inference, including sparsity methods Inductive inference Interactive learning Kernel methods Learning in games, multi-agent learning Learning in other settings: E.g. social, economic, and game-theoretic Learning in planning and control, including reinforcement learning Learning with additional constraints: E.g. privacy, time or memory budget, communication Mathematical analysis of learning in related fields, e.g., game theory, natural language processing, neuroscience, bioinformatics, privacy and security, machine vision, data mining, information retrieval Online learning On-line learning and relative loss bounds Optimization procedures for learning Planning and control, including reinforcement learning Statistical mechanics of learning systems Unsupervised, semi-supervised learning, and clustering </div>