Entropic estimation of optimal transport maps

24 September 2021

Papers citing "Entropic estimation of optimal transport maps"

26 / 26 papers shown

Title
Multivariate Conformal Prediction using Optimal Transport Michal Klein Louis Béthune Eugène Ndiaye Marco Cuturi OT 59 3 0 05 Feb 2025
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 36 0 0 31 Oct 2024
Iterated Schrödinger bridge approximation to Wasserstein Gradient Flows Medha Agarwal Zaïd Harchaoui Garrett Mulcahy Soumik Pal 30 0 0 16 Jun 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 27 7 0 05 Dec 2023
Manifold learning in Wasserstein space Keaton Hamm Caroline Moosmüller Bernhard Schmitzer Matthew Thorpe 41 4 0 14 Nov 2023
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm Stephan Eckstein 26 7 0 07 Nov 2023
Optimal Transport with Adaptive Regularisation Hugues van Assel Titouan Vayer Rémi Flamary Nicolas Courty OT 25 2 0 04 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 26 4 0 02 Oct 2023
Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements Bernard Bercu Jérémie Bigot Gauthier Thurin 24 0 0 04 Jul 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 19 10 0 12 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport Austin J. Stromme 21 10 0 06 Jun 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs Alberto González Sanz Shayan Hundrieser OT 31 9 0 16 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 27 1 0 18 Apr 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 45 26 0 09 Feb 2023
Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles Bernard Bercu Jérémie Bigot Gauthier Thurin 26 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
Optimal transport map estimation in general function spaces Vincent Divol Jonathan Niles-Weed Aram-Alexandre Pooladian OT 24 22 0 07 Dec 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
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
Stability and upper bounds for statistical estimation of unbalanced transport potentials A. Vacher Franccois-Xavier Vialard OT 17 4 0 17 Mar 2022
An entropic generalization of Caffarelli's contraction theorem via covariance inequalities Sinho Chewi Aram-Alexandre Pooladian 26 36 0 09 Mar 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 26 4 0 07 Feb 2022
Measure Estimation in the Barycentric Coding Model Matthew Werenski Ruijie Jiang Abiy Tasissa Shuchin Aeron James M. Murphy 38 14 0 28 Jan 2022
Near-optimal estimation of smooth transport maps with kernel sums-of-squares Boris Muzellec A. Vacher Francis R. Bach Franccois-Xavier Vialard Alessandro Rudi OT 26 20 0 03 Dec 2021
Optimal transport weights for causal inference Eric A. Dunipace CML OT 18 9 0 05 Sep 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 112 95 0 10 Dec 2020