An improved central limit theorem and fast convergence rates for entropic transportation costs

19 April 2022

E. del Barrio

Alberto González Sanz

Jean-Michel Loubes

Jonathan Niles-Weed

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Papers citing "An improved central limit theorem and fast convergence rates for entropic transportation costs"

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Title
Improved learning theory for kernel distribution regression with two-stage sampling F. Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes 96 1 0 28 Jan 2025
Plug-in estimation of Schrödinger bridges Aram-Alexandre Pooladian Jonathan Niles-Weed DiffM OT 35 1 0 21 Aug 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking Gabriel Rioux Apoorva Nitsure Mattia Rigotti Kristjan Greenewald Youssef Mroueh 32 1 0 10 Jun 2024
Diffeomorphic Measure Matching with Kernels for Generative Modeling Biraj Pandey Bamdad Hosseini Pau Batlle H. Owhadi 18 3 0 12 Feb 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 20 1 0 23 Jan 2024
Limit Distribution Theory for Quantum Divergences Sreejith Sreekumar Mario Berta 18 2 0 22 Nov 2023
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm Stephan Eckstein 24 7 0 07 Nov 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data Donlapark Ponnoprat Ryotaro Okano Masaaki Imaizumi OT 18 1 0 18 Jul 2023
Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements Bernard Bercu Jérémie Bigot Gauthier Thurin 19 0 0 04 Jul 2023
Lower Complexity Adaptation for Empirical Entropic Optimal Transport Michel Groppe Shayan Hundrieser OT 21 10 0 23 Jun 2023
Learning Elastic Costs to Shape Monge Displacements Michal Klein Aram-Alexandre Pooladian Pierre Ablin Eugène Ndiaye Jonathan Niles-Weed Marco Cuturi 43 3 0 20 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport Austin J. Stromme 16 10 0 06 Jun 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs Alberto González Sanz Shayan Hundrieser OT 26 9 0 16 May 2023
Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach Giacomo Greco Maxence Noble Giovanni Conforti Alain Durmus OT 10 7 0 13 Apr 2023
Energy-guided Entropic Neural Optimal Transport Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 36 21 0 12 Apr 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 19 15 0 25 Dec 2022
Gaussian Processes on Distributions based on Regularized Optimal Transport F. Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes GP OT 12 7 0 12 Oct 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu 37 27 0 18 Jul 2022
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 14 22 0 15 Jul 2022
Diffeomorphic Registration using Sinkhorn Divergences Lucas de Lara Alberto González Sanz Jean-Michel Loubes FedML 9 8 0 28 Jun 2022
On the sample complexity of entropic optimal transport Philippe Rigollet Austin J. Stromme OT 25 40 0 27 Jun 2022
Trajectory Inference via Mean-field Langevin in Path Space Lénaïc Chizat Stephen X. Zhang Matthieu Heitz Geoffrey Schiebinger 18 20 0 14 May 2022
Statistical inference with regularized optimal transport Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu OT 28 34 0 09 May 2022
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 76 105 0 24 Sep 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 24 12 0 06 Jan 2021