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Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures

Entropy-Regularized 222-Wasserstein Distance between Gaussian Measures

5 June 2020
Anton Mallasto
Augusto Gerolin
H. Q. Minh
ArXivPDFHTML

Papers citing "Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures"

13 / 13 papers shown
Title
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
Yang Xiang
Li Fan
Chenke Yin
Menglin Kong
Chengtao Ji
OffRL
42
0
0
22 Feb 2025
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based
  Method on Gaussians
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians
Ngoc-Hai Nguyen
Dung D. Le
Hoang Nguyen
Tung Pham
Nhat Ho
OT
34
1
0
10 Oct 2024
BM$^2$: Coupled Schr\"{o}dinger Bridge Matching
BM2^22: Coupled Schr\"{o}dinger Bridge Matching
Stefano Peluchetti
OT
28
0
0
14 Sep 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Xun Tang
Michael Shavlovsky
Holakou Rahmanian
Elisa Tardini
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
OT
33
4
0
20 Jan 2024
Light Schrödinger Bridge
Light Schrödinger Bridge
Alexander Korotin
Nikita Gushchin
Evgeny Burnaev
OT
29
4
0
02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
37
2
0
02 Oct 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and
  Generative Modeling
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
Stefano Peluchetti
OT
DiffM
16
48
0
03 Apr 2023
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
18
11
0
21 Mar 2023
Critical Points and Convergence Analysis of Generative Deep Linear
  Networks Trained with Bures-Wasserstein Loss
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
Pierre Bréchet
Katerina Papagiannouli
Jing An
Guido Montúfar
23
3
0
06 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
An entropic generalization of Caffarelli's contraction theorem via
  covariance inequalities
An entropic generalization of Caffarelli's contraction theorem via covariance inequalities
Sinho Chewi
Aram-Alexandre Pooladian
31
36
0
09 Mar 2022
Convergence and finite sample approximations of entropic regularized
  Wasserstein distances in Gaussian and RKHS settings
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings
M. H. Quang
51
5
0
05 Jan 2021
Bayesian Learning with Wasserstein Barycenters
Bayesian Learning with Wasserstein Barycenters
Julio D. Backhoff Veraguas
J. Fontbona
Gonzalo Rios
Felipe A. Tobar
20
29
0
28 May 2018
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