Optimal Transport and Information Geometry for Machine Learning and Data Science Published 2022-09-25 Download video MP4 360p Recommendations 16:45 Hyperbolic Information Geometry 42:48 Marco Cuturi - A Primer on Optimal Transport Part 1 58:08 "Optimal Transport for Statistics and Machine Learning" Prof. Philippe Rigollet, MIT 56:09 Soheil Kolouri - Wasserstein Embeddings in the Deep Learning Era 1:20:22 New Frontiers in Mathematics: Professor Cédric Villani, “Optimal Transport Theory” 1:46:29 Computational optimal transport 40:08 The Most Important Algorithm in Machine Learning 1:16:48 Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport | Alex Tong 18:25 The Wasserstein Metric a.k.a Earth Mover's Distance: A Quick and Convenient Introduction 3:11:54 Marco Cuturi - A primer on Optimal Transport Theory and Algorithms | MLSS Kraków 2023 45:48 Statistical Mirror Symmetry 17:28 The Fisher Information 09:19 A moduli space of polygons 1:10:57 Information Geometry 1:01:15 Distinguished Seminar in Optimization and Data: Philippe Rigollet (MIT) 51:31 11. Introduction to Machine Learning 31:13 Researchers Use Group Theory to Speed Up Algorithms — Introduction to Groups 47:53 Directions in ML: Automating Dataset Comparison and Manipulation with Optimal Transport Similar videos 31:46 M. Ha Quang (RIKEN-AIP)“Information geometry and optimal transport framework for Gaussian processes” 1:00:05 "Regularized information geometric and optimal transport distances between covariance operators..." 56:03 Wuchen Li - Transport information Bregman divergences 48:10 Nicolas Garcia Trillos - Adversarial Classification, Optimal Transport, and Geometric Flows 33:28 Optimal Transport and Machine Learning with Marco Cuturi - #131 58:06 AN20: JP1 Optimal Transport for Machine Learning 52:41 IMA Workshop:Optimal Control, Optimal Transport, and Data Science 47:33 On the several ways to regularize optimal transport. - Cuturi - Workshop 3 - CEB T1 2019 1:08:40 Learning distances for attributed graphs with optimal transport 42:03 Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure 16:53 DOE CSGF 2019: Optimization in the Space of Measures: Machine Learning Using Optimal Transport 52:52 Nik Nuesken: Stein geometry in machine learning: gradient flows, optimal transport, large deviations More results