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Invited Paper Session

Optimal transport in Statistics and Machine Learning

Wed, Aug 6, 10:30 AM - 12:20 PM Room CC-105B Music City Center

Bodhisattva SenOrganizerBodhisattva SenChair

IMS co: No Additional Sponsorco: No Additional Sponsor

4 Presentations

Fundamental limits of the sensitivity of unbiased estimation through the lens of the Wasserstein geometry

10:35 AM - 11:00 AM

Nicolas Garcia Trillos (University of Wisconsin at Madison)

optimal transport data analysis vectorial optimal transport linearization

Gradient flows for empirical Bayes in high-dimensional linear models

11:00 AM - 11:25 AM

Empirical Bayes Nonparametric maximum likelihood Wasserstein gradient flow Log-Sobolev inequality High-dimensional regression

Constrained Denoising, Empirical Bayes, and Optimal Transport

11:25 AM - 11:50 AM

Empirical Bayes optimal transport Denoising

Limit Laws for Gromov-Wasserstein Alignment and Testing for Graph Symmetries

11:50 AM - 12:15 PM

Ziv Goldfeld (Cornell University)

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