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Entropic optimal transport is maximum-likelihood deconvolution

Entropic optimal transport is maximum-likelihood deconvolution

14 September 2018
Philippe Rigollet
Jonathan Niles-Weed
    OT
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Papers citing "Entropic optimal transport is maximum-likelihood deconvolution"

19 / 19 papers shown
Title
Doubly Regularized Entropic Wasserstein Barycenters
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
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
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
Asymptotics for semi-discrete entropic optimal transport
Jason M. Altschuler
Jonathan Niles-Weed
Austin J. Stromme
13
27
0
22 Jun 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence
  of gradient descent
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
Smooth ppp-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
Entropy-regularized optimal transport on multivariate normal and q-normal distributions
Qijun Tong
Kei Kobayashi
OT
21
7
0
19 Dec 2020
Debiased Sinkhorn barycenters
Debiased Sinkhorn barycenters
H. Janati
Marco Cuturi
Alexandre Gramfort
OT
17
54
0
03 Jun 2020
Regularized Optimal Transport is Ground Cost Adversarial
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
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency
Ziv Goldfeld
Kristjan Greenewald
OT
33
39
0
24 Jan 2020
Prescribed Generative Adversarial Networks
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
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
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
Statistical data analysis in the Wasserstein space
Jérémie Bigot
27
29
0
19 Jul 2019
Minimax estimation of smooth optimal transport maps
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
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
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
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
Mirror averaging with sparsity priors
A. Dalalyan
Alexandre B. Tsybakov
104
59
0
05 Mar 2010
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