A graduate course on the mathematics and computation of optimal transport,
and its use across modern machine learning — from entropic regularization
and dynamic formulations to generative modeling, domain adaptation, and beyond.
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Lectures20 lectures · four parts
The course, along a geodesic.
Hover a node for the lecture title; click to open its slides.