Optimal Transport and High Dimensional Probability - Gradient Flows on Wasserstein Space

Offered By: Institute for Mathematical Sciences via YouTube

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Explore gradient flows on Wasserstein spaces in this 59-minute lecture by Sinho Chewi from MIT, USA, as part of the Institute for Mathematical Sciences' series on optimal transport and high-dimensional probability. Delve into advanced mathematical concepts and their applications in this comprehensive presentation.

Syllabus

Sinho Chewi Optimal transport and high dimensional probability Gradient Flows on Wasserstein Spa

Taught by

Institute for Mathematical Sciences

Related Courses

Optimal Transport and PDE - Gradient Flows in the Wasserstein Metric
Simons Institute via YouTube Crash Course on Optimal Transport
Simons Institute via YouTube Learning From Ranks, Learning to Rank - Jean-Philippe Vert, Google Brain
Alan Turing Institute via YouTube Optimal Transport for Machine Learning - Gabriel Peyre, Ecole Normale Superieure
Alan Turing Institute via YouTube Regularization for Optimal Transport and Dynamic Time Warping Distances - Marco Cuturi
Alan Turing Institute via YouTube