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An entropic generalization of Caffarelli's contraction theorem via
  covariance inequalities

An entropic generalization of Caffarelli's contraction theorem via covariance inequalities

9 March 2022
Sinho Chewi
Aram-Alexandre Pooladian
ArXivPDFHTML

Papers citing "An entropic generalization of Caffarelli's contraction theorem via covariance inequalities"

19 / 19 papers shown
Title
Langevin Diffusion Approximation to Same Marginal Schrödinger Bridge
Langevin Diffusion Approximation to Same Marginal Schrödinger Bridge
Medha Agarwal
Zaïd Harchaoui
Garrett Mulcahy
Soumik Pal
OT
31
0
0
12 May 2025
Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity
Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity
Giacomo Greco
Luca Tamanini
29
1
0
15 Apr 2025
A semiconcavity approach to stability of entropic plans and exponential
  convergence of Sinkhorn's algorithm
A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm
Alberto Chiarini
Giovanni Conforti
Giacomo Greco
Luca Tamanini
82
4
0
12 Dec 2024
Conditional simulation via entropic optimal transport: Toward
  non-parametric estimation of conditional Brenier maps
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
Plug-in estimation of Schrödinger bridges
Plug-in estimation of Schrödinger bridges
Aram-Alexandre Pooladian
Jonathan Niles-Weed
DiffM
OT
43
1
0
21 Aug 2024
Log-Concave Coupling for Sampling Neural Net Posteriors
Log-Concave Coupling for Sampling Neural Net Posteriors
Curtis McDonald
Andrew R. Barron
32
1
0
26 Jul 2024
Progressive Entropic Optimal Transport Solvers
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
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
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
Estimation of entropy-regularized optimal transport maps between
  non-compactly supported measures
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures
Matthew Werenski
James M. Murphy
Shuchin Aeron
OT
32
4
0
20 Nov 2023
Gaussian Interpolation Flows
Gaussian Interpolation Flows
Yuan Gao
Jianxia Huang
Yuling Jiao
AI4CE
18
2
0
20 Nov 2023
Projected Langevin dynamics and a gradient flow for entropic optimal
  transport
Projected Langevin dynamics and a gradient flow for entropic optimal transport
Giovanni Conforti
D. Lacker
Soumik Pal
OT
21
7
0
15 Sep 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via
  Damped Sinkhorn Iterations
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
Lénaïc Chizat
Tomas Vaskevicius
31
1
0
25 Jul 2023
On Rank Energy Statistics via Optimal Transport: Continuity,
  Convergence, and Change Point Detection
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection
Matthew Werenski
Shoaib Bin Masud
James M. Murphy
Shuchin Aeron
19
4
0
15 Feb 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean
  Proximal Sampler
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
Sivakanth Gopi
Y. Lee
Daogao Liu
Ruoqi Shen
Kevin Tian
17
7
0
13 Feb 2023
Stochastic optimal transport in Banach Spaces for regularized estimation
  of multivariate quantiles
Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles
Bernard Bercu
Jérémie Bigot
Gauthier Thurin
28
2
0
02 Feb 2023
Minimax estimation of discontinuous optimal transport maps: The
  semi-discrete case
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
Optimal transport map estimation in general function spaces
Vincent Divol
Jonathan Niles-Weed
Aram-Alexandre Pooladian
OT
35
22
0
07 Dec 2022
On the potential benefits of entropic regularization for smoothing
  Wasserstein estimators
On the potential benefits of entropic regularization for smoothing Wasserstein estimators
Jérémie Bigot
Paul Freulon
B. Hejblum
Arthur Leclaire
OT
32
2
0
13 Oct 2022
Entropic estimation of optimal transport maps
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
82
105
0
24 Sep 2021
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