ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.08695
  4. Cited By
Stochastic Optimization for Regularized Wasserstein Estimators

Stochastic Optimization for Regularized Wasserstein Estimators

International Conference on Machine Learning (ICML), 2020
20 February 2020
Marin Ballu
Quentin Berthet
Francis R. Bach
ArXiv (abs)PDFHTML

Papers citing "Stochastic Optimization for Regularized Wasserstein Estimators"

8 / 8 papers shown
Distances for Markov chains from sample streams
Distances for Markov chains from sample streams
Sergio Calo
Anders Jonsson
Gergely Neu
Ludovic Schwartz
Javier Segovia-Aguas
312
1
0
23 May 2025
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithmProbability theory and related fields (PTRF), 2023
Stephan Eckstein
579
15
0
07 Nov 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
189
1
0
25 Jul 2023
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
358
16
0
21 Mar 2023
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Mirror Sinkhorn: Fast Online Optimization on Transport PolytopesInternational Conference on Machine Learning (ICML), 2022
Marin Ballu
Quentin Berthet
424
9
0
18 Nov 2022
On the potential benefits of entropic regularization for smoothing
  Wasserstein estimators
On the potential benefits of entropic regularization for smoothing Wasserstein estimatorsElectronic Journal of Statistics (EJS), 2022
Jérémie Bigot
Paul Freulon
B. Hejblum
Arthur Leclaire
OT
369
2
0
13 Oct 2022
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
300
72
0
05 Jan 2021
Stochastic Approximation versus Sample Average Approximation for
  population Wasserstein barycenters
Stochastic Approximation versus Sample Average Approximation for population Wasserstein barycenters
D. Dvinskikh
426
11
0
21 Jan 2020
1
Page 1 of 1