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. 2107.13494
  4. Cited By
Limit Distribution Theory for the Smooth 1-Wasserstein Distance with
  Applications

Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications

28 July 2021
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
ArXivPDFHTML

Papers citing "Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications"

14 / 14 papers shown
Title
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport
  distance
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
Fang Han
Zhen Miao
Yandi Shen
OT
74
7
0
04 Dec 2021
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
100
39
0
24 Jun 2021
Limit Distribution for Smooth Total Variation and $χ^2$-Divergence in
  High Dimensions
Limit Distribution for Smooth Total Variation and χ2χ^2χ2-Divergence in High Dimensions
Ziv Goldfeld
Kengo Kato
39
7
0
03 Feb 2020
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical
  Efficiency
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency
Ziv Goldfeld
Kristjan Greenewald
OT
40
41
0
24 Jan 2020
Asymptotic Guarantees for Learning Generative Models with the
  Sliced-Wasserstein Distance
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi
Alain Durmus
Umut Simsekli
Roland Badeau
MedIm
29
63
0
11 Jun 2019
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
Gromov-Wasserstein Alignment of Word Embedding Spaces
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
Tommi Jaakkola
OT
46
326
0
31 Aug 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
111
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
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
122
9,509
0
31 Mar 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
84
1,648
0
02 Jun 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
121
4,210
0
04 Jun 2013
Anti-concentration and honest, adaptive confidence bands
Anti-concentration and honest, adaptive confidence bands
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
112
174
0
28 Mar 2013
1