Machine Learning Theory: High-Dimensional Perspectives

This lecture by the instructor delves into the challenges faced by theoreticians in understanding modern artificial intelligence methods. By exploring the intersection of high-dimensional probability, statistical physics, and information theory, the lecture sheds light on new perspectives. The discussion focuses on simple mathematically solvable models to deepen the understanding of data, performance, and algorithms.