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Plugin Estimation of Smooth Optimal Transport Maps

26 July 2021

Tudor Manole

Sivaraman Balakrishnan

Jonathan Niles-Weed

Larry A. Wasserman

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Papers citing "Plugin Estimation of Smooth Optimal Transport Maps"

39 / 39 papers shown

Title
Bandit Optimal Transport Lorenzo Croissant 123 0 0 11 Feb 2025
Wasserstein Flow Matching: Generative modeling over families of distributions Doron Haviv Aram-Alexandre Pooladian Dana Peér Brandon Amos OOD 73 1 0 01 Nov 2024
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 98 0 0 31 Oct 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 164 10 0 05 Dec 2023
Statistical inference with regularized optimal transport Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu OT 75 36 0 09 May 2022
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections Nabarun Deb Promit Ghosal B. Sen OT 110 75 0 04 Jul 2021
Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs Tudor Manole Jonathan Niles-Weed OT 127 38 0 24 Jun 2021
A Consistent Extension of Discrete Optimal Transport Maps for Machine Learning Applications Lucas de Lara Alberto González Sanz Jean-Michel Loubes OT 68 9 0 17 Feb 2021
Measure estimation on manifolds: an optimal transport approach Vincent Divol OT 152 21 0 15 Feb 2021
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation A. Vacher Boris Muzellec Alessandro Rudi Francis R. Bach François-Xavier Vialard OT 63 28 0 13 Jan 2021
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence Lénaïc Chizat Pierre Roussillon Flavien Léger François-Xavier Vialard Gabriel Peyré OT 54 116 0 15 Jun 2020
Optimal Transport for Conditional Domain Matching and Label Shift A. Rakotomamonjy Rémi Flamary Gilles Gasso Mokhtar Z. Alaya Maxime Bérar Nicolas Courty OOD OT 45 28 0 15 Jun 2020
Learning normalizing flows from Entropy-Kantorovich potentials Chris Finlay Augusto Gerolin Adam M. Oberman Aram-Alexandre Pooladian 96 24 0 10 Jun 2020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport Derek Onken Samy Wu Fung Xingjian Li Lars Ruthotto OT 72 162 0 29 May 2020
Statistical Optimal Transport posed as Learning Kernel Embedding SakethaNath Jagarlapudi Pratik Jawanpuria OT 42 16 0 08 Feb 2020
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure Transportation Nabarun Deb B. Sen 109 134 0 18 Sep 2019
Minimax Confidence Intervals for the Sliced Wasserstein Distance Tudor Manole Sivaraman Balakrishnan Larry A. Wasserman 163 36 0 17 Sep 2019
Estimation of Wasserstein distances in the Spiked Transport Model Jonathan Niles-Weed Philippe Rigollet 64 103 0 16 Sep 2019
Optimal transport mapping via input convex neural networks Ashok Vardhan Makkuva Amirhossein Taghvaei Sewoong Oh Jason D. Lee OT 74 202 0 28 Aug 2019
On the Minimax Optimality of Estimating the Wasserstein Metric Tengyuan Liang 34 8 0 27 Aug 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 159 96 0 21 Jun 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 50 28 0 14 May 2019
Multivariate Ranks and Quantiles using Optimal Transport: Consistency, Rates, and Nonparametric Testing Promit Ghosal B. Sen 52 60 0 14 May 2019
Minimax estimation of smooth densities in Wasserstein distance Jonathan Niles-Weed Quentin Berthet OT 52 38 0 05 Feb 2019
Obtaining fairness using optimal transport theory E. del Barrio Fabrice Gamboa Paula Gordaliza Jean-Michel Loubes FaML 172 181 0 08 Jun 2018
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms Matthew M. Dunlop D. Slepčev Andrew M. Stuart Matthew Thorpe 47 61 0 23 May 2018
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces Jing Lei 64 120 0 27 Apr 2018
Optimal Transport for Multi-source Domain Adaptation under Target Shift I. Redko Nicolas Courty Rémi Flamary D. Tuia OOD 38 142 0 13 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 239 2,158 0 01 Mar 2018
Optimal rates of entropy estimation over Lipschitz balls Yanjun Han Jiantao Jiao Tsachy Weissman Yihong Wu 89 73 0 06 Nov 2017
Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications Carla Tameling Max Sommerfeld Axel Munk OT 89 64 0 04 Jul 2017
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Jonathan Niles-Weed Francis R. Bach 213 421 0 01 Jul 2017
Central Limit Theorem for empirical transportation cost in general dimension E. del Barrio Jean-Michel Loubes OT 69 109 0 03 May 2017
A Computational Framework for Multivariate Convex Regression and its Variants Rahul Mazumder Arkopal Choudhury G. Iyengar B. Sen 140 82 0 28 Sep 2015
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 157 1,125 0 02 Jul 2015
Nonparametric Estimation of Renyi Divergence and Friends A. Krishnamurthy Kirthevasan Kandasamy Barnabás Póczós Larry A. Wasserman 117 92 0 12 Feb 2014
On the rate of convergence in Wasserstein distance of the empirical measure N. Fournier Arnaud Guillin 182 1,150 0 07 Dec 2013
Nonparametric Least Squares Estimation of a Multivariate Convex Regression Function E. Seijo B. Sen 102 165 0 24 Mar 2010
Uniform limit theorems for wavelet density estimators Evarist Giné Richard Nickl 147 83 0 09 May 2008