Aude Genevay (MIT) -- Learning with Sinkhorn divergences: from optimal transport to MMD

45:47
Nima Anari (Stanford) - Limited correlations, fractional log-concavity, and fast mixing random walks

1:24:41
Shape Analysis (Lecture 19): Optimal transport

42:48
Marco Cuturi - A Primer on Optimal Transport Part 1

35:41
Aude Genevay: Bridging the gap between optimal transport and MMD with Sinkhorn divergences

39:22
MIT 6.S087: Foundation Models & Generative AI. ECOSYSTEM

58:08
"Optimal Transport for Statistics and Machine Learning" Prof. Philippe Rigollet, MIT

18:14
The KL Divergence : Data Science Basics

1:09:26