36th International Conference on Algorithmic Learning Theory

The 36th International Conference on Algorithmic Learning Theory (ALT 2025) is the premier theoretical venue for research on the mathematical foundations of machine learning, focusing on the design and analysis of learning algorithms with provable guarantees. Core topics include PAC learning, online learning, bandit algorithms, boosting, learning with queries, statistical query models, and the sample and computational complexity of learning problems, examined through the rigorous tools of theoretical computer science and mathematics.

ALT attracts theoretical computer scientists, mathematicians, and machine learning researchers who believe that understanding why algorithms work — and when they must fail — is as important as building systems that empirically succeed. The conference is relatively small and highly selective, fostering deep engagement between participants and making it an ideal venue for graduate students to present foundational work and receive detailed feedback from the world's leading theoreticians in learning theory.