Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Optimal Transport and High-Dimensional Probability

Institute for Mathematical Sciences via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the connections between optimal transport theory and high-dimensional probability in this 57-minute lecture by Yair Shenfeld from Brown University. Delve into functional inequalities, including the log-Sobolev inequality and Talagrand's inequality, and examine their role in the convergence of flows. Investigate the concepts of displacement convexity and logconcavity of probability measures, gaining insights into the interplay between optimal transport techniques and probabilistic phenomena in high-dimensional spaces.

Syllabus

Yair Shenfeld Optimal transport and high-dimensional probability

Taught by

Institute for Mathematical Sciences

Reviews

4.0 rating, based on 1 Class Central review

Start your review of Optimal Transport and High-Dimensional Probability

  • INUSAH ABU
    It was bravo and super clear explanation of Optimal Transport and how it connects to high-dimensional probability. The speaker breaks down complex ideas like Wasserstein distance and measure concentration in a way that actually makes sense. It was really insightful and well presented I learned a lot from it. I highly recommended for anyone studying probability, data science, or machine learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.