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Fast convergence of empirical barycenters in Alexandrov spaces and the
  Wasserstein space

Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space

2 August 2019
Thibaut Le Gouic
Q. Paris
Philippe Rigollet
Austin J. Stromme
ArXivPDFHTML

Papers citing "Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space"

12 / 12 papers shown
Title
Large Deviations Principle for Bures-Wasserstein Barycenters
Large Deviations Principle for Bures-Wasserstein Barycenters
Adam Quinn Jaffe
Leonardo P. M. Santoro
26
0
0
17 Sep 2024
Distribution-on-Distribution Regression with Wasserstein Metric:
  Multivariate Gaussian Case
Distribution-on-Distribution Regression with Wasserstein Metric: Multivariate Gaussian Case
Ryotaro Okano
Masaaki Imaizumi
21
2
0
12 Jul 2023
Large Sample Theory for Bures-Wasserstein Barycentres
Large Sample Theory for Bures-Wasserstein Barycentres
Leonardo P. M. Santoro
V. Panaretos
28
3
0
24 May 2023
On the Concentration of the Minimizers of Empirical Risks
On the Concentration of the Minimizers of Empirical Risks
Paul Escande
31
3
0
03 Apr 2023
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
20
12
0
21 Mar 2023
Approximating Persistent Homology for Large Datasets
Approximating Persistent Homology for Large Datasets
Yueqi Cao
Anthea Monod
16
9
0
19 Apr 2022
An entropic generalization of Caffarelli's contraction theorem via
  covariance inequalities
An entropic generalization of Caffarelli's contraction theorem via covariance inequalities
Sinho Chewi
Aram-Alexandre Pooladian
36
36
0
09 Mar 2022
Averaging on the Bures-Wasserstein manifold: dimension-free convergence
  of gradient descent
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason M. Altschuler
Sinho Chewi
P. Gerber
Austin J. Stromme
23
36
0
16 Jun 2021
Sampling From the Wasserstein Barycenter
Sampling From the Wasserstein Barycenter
Chiheb Daaloul
Thibaut Le Gouic
J. Liandrat
M. I. O. Technology
15
6
0
04 May 2021
Online learning with exponential weights in metric spaces
Online learning with exponential weights in metric spaces
Q. Paris
34
4
0
26 Mar 2021
Projection to Fairness in Statistical Learning
Projection to Fairness in Statistical Learning
Thibaut Le Gouic
Jean-Michel Loubes
Philippe Rigollet
24
3
0
24 May 2020
Estimation of Wasserstein distances in the Spiked Transport Model
Estimation of Wasserstein distances in the Spiked Transport Model
Jonathan Niles-Weed
Philippe Rigollet
25
102
0
16 Sep 2019
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