Low-rank Optimal Transport: Approximation, Statistics and Debiasing

v1v2 (latest)

Low-rank Optimal Transport: Approximation, Statistics and Debiasing

24 May 2022

ArXiv (abs)PDF HTML

Papers citing "Low-rank Optimal Transport: Approximation, Statistics and Debiasing"

9 / 9 papers shown

Title
Linear Partial Gromov-Wasserstein Embedding Yikun Bai Abihith Kothapalli Hengrong Du Rocio Diaz Martin Soheil Kolouri 85 0 0 22 Oct 2024
Approximating Optimal Transport via Low-rank and Sparse Factorization Weijie Liu Chao Zhang Nenggan Zheng Hui Qian OT 30 3 0 12 Nov 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 71 59 0 08 Mar 2021
Linear Time Sinkhorn Divergences using Positive Features M. Scetbon Marco Cuturi 99 26 0 12 Jun 2020
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 70 532 0 18 Oct 2018
Statistical Optimal Transport via Factored Couplings Aden Forrow Jan-Christian Hütter Mor Nitzan Philippe Rigollet Geoffrey Schiebinger Jonathan Niles-Weed OT 154 70 0 19 Jun 2018
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 194 632 0 01 Jun 2017
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 220 4,294 0 04 Jun 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 234 688 0 25 Jul 2012

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.