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Explore cutting-edge developments in algorithmic learning theory through this plenary conference talk delivered by Aaron Roth from the University of Pennsylvania at the 37th International Conference on Algorithmic Learning Theory (ALT 2026) and ShaiFest. Gain insights into the latest research and theoretical advances in machine learning algorithms, computational learning theory, and related mathematical foundations. Discover how algorithmic learning theory continues to evolve and its implications for the broader field of artificial intelligence and computer science. Learn from one of the leading experts in the field as they present their research findings and perspectives on the current state and future directions of algorithmic learning theory.
