ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.12848
  4. Cited By
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and
  Sample Complexity

Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity

25 December 2022
Zhengxin Zhang
Ziv Goldfeld
Youssef Mroueh
Bharath K. Sriperumbudur
    OT
ArXivPDFHTML

Papers citing "Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity"

12 / 12 papers shown
Title
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn
  Divergence
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
52
28
0
18 Jul 2022
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
39
34
0
19 Apr 2022
Empirical Optimal Transport between Different Measures Adapts to Lower
  Complexity
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
46
24
0
21 Feb 2022
Sharp Convergence Rates for Empirical Optimal Transport with Smooth
  Costs
Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
Tudor Manole
Jonathan Niles-Weed
OT
98
39
0
24 Jun 2021
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical
  Efficiency
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency
Ziv Goldfeld
Kristjan Greenewald
OT
38
41
0
24 Jan 2020
Sliced Gromov-Wasserstein
Sliced Gromov-Wasserstein
Titouan Vayer
Rémi Flamary
Romain Tavenard
Laetitia Chapel
Nicolas Courty
OT
17
100
0
24 May 2019
Learning Generative Models across Incomparable Spaces
Learning Generative Models across Incomparable Spaces
Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
GAN
38
112
0
14 May 2019
Gromov-Wasserstein Alignment of Word Embedding Spaces
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
Tommi Jaakkola
OT
38
326
0
31 Aug 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
117
2,133
0
01 Mar 2018
Empirical optimal transport on countable metric spaces: Distributional
  limits and statistical applications
Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications
Carla Tameling
Max Sommerfeld
Axel Munk
OT
23
64
0
04 Jul 2017
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
101
417
0
01 Jul 2017
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
107
4,210
0
04 Jun 2013
1