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Explore cutting-edge developments in algorithmic learning theory through this 54-minute plenary talk delivered at the 37th International Conference on Algorithmic Learning Theory (ALT 2026) and ShaiFest. Learn from Ohad Shamir of the University of Toronto as he presents advanced research and insights in the field of machine learning theory. Gain exposure to the latest theoretical foundations, mathematical frameworks, and algorithmic approaches that drive modern learning systems. Discover how theoretical advances in algorithmic learning translate into practical applications and understand the current frontiers of research in this rapidly evolving field. Access perspectives from one of the leading researchers in the area during this prestigious conference presentation hosted by the Fields Institute.
