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Probability and Dynamical Systems Seminar
Probability and Dynamical Systems Seminar
Optimal matching of Gaussian samples
Optimal matching of Gaussian samples
Organizers
Speaker
Time
Tuesday, March 31, 2026 3:15 PM - 4:15 PM
Venue
A3-3-301
Online
Zoom 482 240 1589
(BIMSA)
Abstract
We will investigate the convergence rates of the empirical measures sampled according to the Gaussian distribution. In particular, we will present a proof, due to Ledoux and Zhu, that the expected p-Wasserstein distance of the sample of $n$ points in $\mathbb{R}^d$ is of order $n^{-p/d}$. We will restrict ourselves to the case $p=2$.
Speaker Intro
After graduating from the University of Warsaw, Krzysztof Ciosmak joined the Mathematical Institute of the University of Oxford, where he defended my doctoral thesis on Optimal transport and 1-Lipschitz maps, and subsequently held a postdoctoral position. Before joining BIMSA, he held the Fields-Ontario Postdoctoral Fellowship at the University of Toronto and the Fields Institute.