Sinho Chewi Optimal transport and high dimensional probability Otto's Calculus on Wasserstein and

preview_player
Показать описание
Sinho Chewi

MIT, USA
  1. Institute for Mathematical Sciences
Рекомендации по теме
Sinho Chewi 0:58:52

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

Sinho Chewi 0:59:02

Sinho Chewi Optimal transport and high dimensional probability Otto's Calculus on Wasserstein...

An Optimization Perspective 1:49:53

An Optimization Perspective on Log-concave Sampling - Sinho Chewi

Yair Shenfeld 0:52:25

Yair Shenfeld Optimal Transport and high dimensional probability

The Complexity of 0:15:28

The Complexity of Log-Concave Sampling - Sinho Chewi

Yair Shenfeld 0:55:45

Yair Shenfeld Optimal transport and high dimensional probability Wasserstein Spaces

Yair Shenfeld 0:54:44

Yair Shenfeld Optimal transport and high dimensional probability Introduction to optimal transpo

Sinho Chewi: Two 0:59:16

Sinho Chewi: Two Applications of Reversed SDEs to Sampling

Improved Dimension Dependence 0:40:11

Improved Dimension Dependence for the Metropolis-Adjusted Langevin...

Distinguished Seminar in 1:01:15

Distinguished Seminar in Optimization and Data: Philippe Rigollet (MIT)

Workshop - The 4:09:50

Workshop - The Mathematics of Machine Learning - 24 gennaio 2023

Austin Stromme - 0:21:01

Austin Stromme - Gradient Descent Algorithms for Bures Wasserstein Barycenters | MLxMIT Tea Talks

Tyler Maunu (MIT) 0:41:36

Tyler Maunu (MIT) -- Gradient descent algorithms for Bures-Wasserstein barycenters

Gradient descent algorithms 0:14:13

Gradient descent algorithms for Bures-Wasserstein barycenters

A proximal algorithm 0:44:52

A proximal algorithm for sampling, Yongxin Chen@Gtech

Workshop - The 2:56:56

Workshop - The Mathematics of Machine Learning - 26 gennaio 2023

Thibaut Le Gouic: 0:55:46

Thibaut Le Gouic: Sampler for the Wasserstein barycenter

Otto calculus and 0:43:23

Otto calculus and deep fakes (Part 2/3)

Workshop - The 3:17:13

Workshop - The Mathematics of Machine Learning - 27 gennaio 2023

Statistical and Computational 0:59:15

Statistical and Computational aspects of Wasserstein Barycenters - P. Rigollet @ MAD+ (8 Apr 2020)

The Mirror Langevin 0:44:41

The Mirror Langevin Algorithm Converges with Vanishing Bias

Estimation Rates for 0:07:59

Estimation Rates for Sparse Linear Cyclic Causal Models

Minimax Mixing Time 0:47:15

Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling

Stochastics and Statistics 0:55:46

Stochastics and Statistics Seminar - Spring 2021 - Thibaut Le Gouic