Entropic optimal transport is maximum-likelihood deconvolution

14 September 2018

Papers citing "Entropic optimal transport is maximum-likelihood deconvolution"

18 / 18 papers shown

Title
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 20 11 0 21 Mar 2023
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
Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood Jake A. Soloff Adityanand Guntuboyina B. Sen 42 18 0 08 Sep 2021
Asymptotics for semi-discrete entropic optimal transport Jason M. Altschuler Jonathan Niles-Weed Austin J. Stromme 11 27 0 22 Jun 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 21 36 0 16 Jun 2021
Smooth $p$ -Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications Sloan Nietert Ziv Goldfeld Kengo Kato 39 30 0 11 Jan 2021
Entropy-regularized optimal transport on multivariate normal and q-normal distributions Qijun Tong Kei Kobayashi OT 21 7 0 19 Dec 2020
Regularized Optimal Transport is Ground Cost Adversarial Franccois-Pierre Paty Marco Cuturi OT AAML OOD 41 29 0 10 Feb 2020
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency Ziv Goldfeld Kristjan Greenewald OT 33 39 0 24 Jan 2020
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 24 61 0 09 Oct 2019
Estimation of Wasserstein distances in the Spiked Transport Model Jonathan Niles-Weed Philippe Rigollet 25 102 0 16 Sep 2019
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space Thibaut Le Gouic Q. Paris Philippe Rigollet Austin J. Stromme 33 51 0 02 Aug 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 27 29 0 19 Jul 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 29 28 0 14 May 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa S. Feizi GAN DRL 41 20 0 09 Oct 2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 29 39 0 02 Oct 2018
Statistical Optimal Transport via Factored Couplings Aden Forrow Jan-Christian Hütter Mor Nitzan Philippe Rigollet Geoffrey Schiebinger Jonathan Niles-Weed OT 25 69 0 19 Jun 2018
Mirror averaging with sparsity priors A. Dalalyan Alexandre B. Tsybakov 104 59 0 05 Mar 2010