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. 2002.08695
  4. Cited By
Stochastic Optimization for Regularized Wasserstein Estimators

Stochastic Optimization for Regularized Wasserstein Estimators

20 February 2020
Marin Ballu
Quentin Berthet
Francis R. Bach
ArXivPDFHTML

Papers citing "Stochastic Optimization for Regularized Wasserstein Estimators"

8 / 8 papers shown
Title
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 algorithm
Stephan Eckstein
41
7
0
07 Nov 2023
Interpolating between Optimal Transport and MMD using Sinkhorn
  Divergences
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy
Thibault Séjourné
François-Xavier Vialard
S. Amari
A. Trouvé
Gabriel Peyré
OT
45
524
0
18 Oct 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
122
2,133
0
01 Mar 2018
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
108
417
0
01 Jul 2017
Near-linear time approximation algorithms for optimal transport via
  Sinkhorn iteration
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
51
586
0
26 May 2017
Fast Computation of Wasserstein Barycenters
Fast Computation of Wasserstein Barycenters
Marco Cuturi
Arnaud Doucet
OT
73
735
0
16 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
115
4,210
0
04 Jun 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
132
573
0
08 Dec 2012
1