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1701.06876
Cited By
Fréchet Means and Procrustes Analysis in Wasserstein Space
24 January 2017
Y. Zemel
V. Panaretos
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Papers citing
"Fréchet Means and Procrustes Analysis in Wasserstein Space"
18 / 18 papers shown
Title
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
32
7
0
05 Dec 2023
Non-injectivity of Bures--Wasserstein barycentres in infinite dimensions
Y. Zemel
24
1
0
15 Nov 2023
Distribution-on-Distribution Regression with Wasserstein Metric: Multivariate Gaussian Case
Ryotaro Okano
Masaaki Imaizumi
21
2
0
12 Jul 2023
Measure transfer via stochastic slicing and matching
Shiying Li
Caroline Moosmueller
26
3
0
11 Jul 2023
Large Sample Theory for Bures-Wasserstein Barycentres
Leonardo P. M. Santoro
V. Panaretos
26
3
0
24 May 2023
Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Kyunghee Han
Dogyoon Song
22
0
0
16 May 2023
Wasserstein Principal Component Analysis for Circular Measures
Mario Beraha
M. Pegoraro
13
2
0
05 Apr 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
Tyler Maunu
Thibaut Le Gouic
Philippe Rigollet
20
5
0
26 Oct 2022
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason M. Altschuler
Sinho Chewi
P. Gerber
Austin J. Stromme
13
36
0
16 Jun 2021
Permutation invariant networks to learn Wasserstein metrics
Arijit Sehanobish
N. Ravindra
David van Dijk
OOD
17
2
0
12 Oct 2020
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure Transportation
Nabarun Deb
B. Sen
45
129
0
18 Sep 2019
Estimation of Wasserstein distances in the Spiked Transport Model
Jonathan Niles-Weed
Philippe Rigollet
25
102
0
16 Sep 2019
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space
Thibaut Le Gouic
Q. Paris
Philippe Rigollet
Austin J. Stromme
31
51
0
02 Aug 2019
Statistical data analysis in the Wasserstein space
Jérémie Bigot
27
29
0
19 Jul 2019
Minimax estimation of smooth optimal transport maps
Jan-Christian Hütter
Philippe Rigollet
OT
29
28
0
14 May 2019
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu
Wenlin Wang
Wei Liu
Lawrence Carin
MedIm
FedML
32
84
0
12 Sep 2018
Bayesian Learning with Wasserstein Barycenters
Julio D. Backhoff Veraguas
J. Fontbona
Gonzalo Rios
Felipe A. Tobar
20
29
0
28 May 2018
Limit laws of the empirical Wasserstein distance: Gaussian distributions
Thomas Rippl
Axel Munk
A. Sturm
52
64
0
15 Jul 2015
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