Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance

1 July 2017

Papers citing "Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance"

10 / 10 papers shown

Title
The Panel Complexity of Sortition: Is 12 Angry Men Enough? Johannes Brustle Simone Fioravanti Tomasz Ponitka Jeremy Vollen 73 0 0 29 Apr 2025
Bandit Optimal Transport Lorenzo Croissant 117 0 0 11 Feb 2025
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning Tao Ma Xuzhi Yang Zoltan Szabo OffRL 110 0 0 01 Jul 2024
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 75 74 0 28 Oct 2019
A review of learning vector quantization classifiers David Nova P. Estévez VLM MQ 44 125 0 23 Sep 2015
On the rate of convergence in Wasserstein distance of the empirical measure N. Fournier Arnaud Guillin 179 1,143 0 07 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,262 0 04 Jun 2013
Learning Probability Measures with respect to Optimal Transport Metrics Guillermo D. Cañas Lorenzo Rosasco OT 85 101 0 05 Sep 2012
Simple bounds for the convergence of empirical and occupation measures in 1-Wasserstein distance Emmanuel Boissard 144 75 0 16 Mar 2011
Functional quantization-based stratified sampling methods S. Corlay Gilles Pagès 76 45 0 26 Aug 2010