Modified Log-Sobolev Inequalities for Strongly Log-Concave Distributions
Offered By: IEEE via YouTube
Course Description
Overview
Explore modified log-Sobolev inequalities for strongly log-concave distributions in this 21-minute IEEE conference talk presented by Mary Cryan, Heng Guo, and Giorgos Mousa. Delve into the mathematical concepts and applications of these inequalities, gaining insights into their significance in probability theory and statistical mechanics. Enhance your understanding of log-concave distributions and their properties as the speakers discuss recent advancements and potential implications in related fields.
Syllabus
Modified log-Sobolev inequalities for strongly log-concave distributions
Taught by
IEEE FOCS: Foundations of Computer Science
Tags
Related Courses
Intro to AlgorithmsUdacity Games without Chance: Combinatorial Game Theory
Georgia Institute of Technology via Coursera Calculus Two: Sequences and Series
Ohio State University via Coursera Big Data: from Data to Decisions
Queensland University of Technology via FutureLearn Simulation and Modeling for Engineering and Science
Georgia Institute of Technology via edX