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"

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Title
Bandit Optimal Transport Lorenzo Croissant 82 0 0 11 Feb 2025
$Categorical Schr\"odinger Bridge Matching$ Categorical Schr\"odinger Bridge Matching Grigoriy Ksenofontov Alexander Korotin 61 0 0 03 Feb 2025
Sum-of-Squares Programming for Ma-Trudinger-Wang Regularity of Optimal Transport Maps Sachin Shivakumar Georgiy A. Bondar Gabriel Khan Abhishek Halder OT 89 0 0 17 Dec 2024
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps Ricardo Baptista Aram-Alexandre Pooladian Michael C. Brennan Youssef Marzouk Jonathan Niles-Weed OT 34 2 0 11 Nov 2024
Wasserstein Flow Matching: Generative modeling over families of distributions D. Haviv Aram-Alexandre Pooladian D. Pe’er Brandon Amos OOD 37 0 0 01 Nov 2024
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 41 0 0 31 Oct 2024
On the robustness of semi-discrete optimal transport Davy Paindaveine Riccardo Passeggeri OT 21 0 0 25 Oct 2024
Plug-in estimation of Schrödinger bridges Aram-Alexandre Pooladian Jonathan Niles-Weed DiffM OT 49 1 0 21 Aug 2024
Progressive Entropic Optimal Transport Solvers Parnian Kassraie Aram-Alexandre Pooladian Michal Klein James Thornton Jonathan Niles-Weed Marco Cuturi OT 33 4 0 07 Jun 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 42 15 0 01 Jun 2024
Neural Estimation Of Entropic Optimal Transport Tao Wang Ziv Goldfeld OT 36 1 0 10 May 2024
A Copula Graphical Model for Multi-Attribute Data using Optimal Transport Q. Zhang Bing Li Lingzhou Xue 31 0 0 10 Apr 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 29 7 0 05 Dec 2023
Limit Distribution Theory for Quantum Divergences Sreejith Sreekumar Mario Berta 23 2 0 22 Nov 2023
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 39 14 0 09 Nov 2023
Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs A. Scagliotti Sara Farinelli 30 3 0 02 Nov 2023
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport Tianyi Lin Marco Cuturi Michael I. Jordan OT 38 0 0 21 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 34 4 0 02 Oct 2023
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 29 11 0 03 Sep 2023
Nearly Minimax Optimal Wasserstein Conditional Independence Testing Matey Neykov Larry A. Wasserman Ilmun Kim Sivaraman Balakrishnan 24 1 0 16 Aug 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data Donlapark Ponnoprat Ryotaro Okano Masaaki Imaizumi OT 23 1 0 18 Jul 2023
Learning Elastic Costs to Shape Monge Displacements Michal Klein Aram-Alexandre Pooladian Pierre Ablin Eugène Ndiaye Jonathan Niles-Weed Marco Cuturi 48 3 0 20 Jun 2023
Convergence of Empirical Optimal Transport in Unbounded Settings Thomas Staudt Shayan Hundrieser OT 19 4 0 20 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport Austin J. Stromme 24 10 0 06 Jun 2023
Transportation of Measure Regression in Higher Dimensions Laya Ghodrati V. Panaretos OT 22 2 0 27 May 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs Alberto González Sanz Shayan Hundrieser OT 34 9 0 16 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 32 1 0 18 Apr 2023
Stability and statistical inference for semidiscrete optimal transport maps Ritwik Sadhu Ziv Goldfeld Kengo Kato OT 35 2 0 17 Mar 2023
Light Unbalanced Optimal Transport Milena Gazdieva Arip Asadulaev Alexander Korotin Evgeny Burnaev OT 28 1 0 14 Mar 2023
Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers Benjamin J. Zhang Youssef M. Marzouk K. Spiliopoulos 22 0 0 14 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Bo-wen Li Ding Zhao OOD 34 2 0 04 Feb 2023
Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles Bernard Bercu Jérémie Bigot Gauthier Thurin 36 2 0 02 Feb 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case Aram-Alexandre Pooladian Vincent Divol Jonathan Niles-Weed OT 25 20 0 26 Jan 2023
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity Zhengxin Zhang Ziv Goldfeld Youssef Mroueh Bharath K. Sriperumbudur OT 22 15 0 25 Dec 2022
Optimal transport map estimation in general function spaces Vincent Divol Jonathan Niles-Weed Aram-Alexandre Pooladian OT 38 22 0 07 Dec 2022
A survey of some recent developments in measures of association S. Chatterjee 13 14 0 09 Nov 2022
On the Wasserstein median of probability measures Kisung You Dennis L. Shung 22 2 0 07 Sep 2022
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models Yangjing Zhang Ying Cui B. Sen Kim-Chuan Toh 24 5 0 16 Aug 2022
Tangential Wasserstein Projections F. Gunsilius Meng Hsuan Hsieh Myung Jin Lee 24 3 0 29 Jul 2022
On minimax density estimation via measure transport Sven Wang Youssef Marzouk OT 28 19 0 20 Jul 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu 42 27 0 18 Jul 2022
On the sample complexity of entropic optimal transport Philippe Rigollet Austin J. Stromme OT 29 40 0 27 Jun 2022
Estimation and inference for the Wasserstein distance between mixing measures in topic models Xin Bing F. Bunea Jonathan Niles-Weed 17 4 0 26 Jun 2022
Distributional Convergence of the Sliced Wasserstein Process Jiaqi Xi Jonathan Niles-Weed 19 6 0 01 Jun 2022
Neural Optimal Transport with General Cost Functionals Arip Asadulaev Alexander Korotin Vage Egiazarian Petr Mokrov Evgeny Burnaev OT 86 32 0 30 May 2022
Central limit theorem for the Sliced 1-Wasserstein distance and the max-Sliced 1-Wasserstein distance Xianliang Xu Zhongyi Huang 19 4 0 29 May 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent Yiping Lu Jose H. Blanchet Lexing Ying 35 7 0 15 May 2022
Statistical inference with regularized optimal transport Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu OT 44 34 0 09 May 2022
Nonparametric Multiple-Output Center-Outward Quantile Regression E. del Barrio Alberto González Sanz Marc Hallin 19 27 0 25 Apr 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 34 32 0 19 Apr 2022