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. 2106.07911
  4. Cited By
Non-asymptotic convergence bounds for Wasserstein approximation using
  point clouds

Non-asymptotic convergence bounds for Wasserstein approximation using point clouds

15 June 2021
Q. Mérigot
F. Santambrogio
Clément Sarrazin
ArXivPDFHTML

Papers citing "Non-asymptotic convergence bounds for Wasserstein approximation using point clouds"

6 / 6 papers shown
Title
Statistical inference of convex order by Wasserstein projection
Statistical inference of convex order by Wasserstein projection
Jakwang Kim
Young-Heon Kim
Yuanlong Ruan
Andrew Warren
36
2
0
05 Jun 2024
Generative Modeling through the Semi-dual Formulation of Unbalanced
  Optimal Transport
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
23
19
0
24 May 2023
Minimax estimation of discontinuous optimal transport maps: The
  semi-discrete case
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Aram-Alexandre Pooladian
Vincent Divol
Jonathan Niles-Weed
OT
25
20
0
26 Jan 2023
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of
  Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out
Jun-Kun Wang
Chi-Heng Lin
Andre Wibisono
Bin Hu
23
20
0
22 Jun 2022
Stability and upper bounds for statistical estimation of unbalanced
  transport potentials
Stability and upper bounds for statistical estimation of unbalanced transport potentials
A. Vacher
Franccois-Xavier Vialard
OT
24
4
0
17 Mar 2022
Optimizing full 3D SPARKLING trajectories for high-resolution
  T2*-weighted Magnetic Resonance Imaging
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging
R. ChaithyaG.
P. Weiss
Guillaume Daval-Frérot
Aurélien Massire
A. Vignaud
P. Ciuciu
6
8
0
06 Aug 2021
1