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Explore the intersection of optimal transport theory and high-dimensional probability in this 59-minute lecture by Sinho Chewi from MIT, USA. Delve into Otto's Calculus on Wasserstein spaces and its applications, gaining insights into advanced mathematical concepts that bridge these two fields. Discover how these theories contribute to solving complex problems in data analysis, machine learning, and statistical physics.
