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A fixed-point approach to barycenters in Wasserstein space

A fixed-point approach to barycenters in Wasserstein space

17 November 2015
P. C. Álvarez-Esteban
E. del Barrio
J. A. Cuesta-Albertos
Carlos Matrán
ArXivPDFHTML

Papers citing "A fixed-point approach to barycenters in Wasserstein space"

23 / 23 papers shown
Title
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Milena Gazdieva
Jaemoo Choi
Alexander Kolesov
Jaewoong Choi
Petr Mokrov
Alexander Korotin
OT
55
0
0
04 Oct 2024
Large Deviations Principle for Bures-Wasserstein Barycenters
Large Deviations Principle for Bures-Wasserstein Barycenters
Adam Quinn Jaffe
Leonardo P. M. Santoro
28
0
0
17 Sep 2024
Non-injectivity of Bures--Wasserstein barycentres in infinite dimensions
Non-injectivity of Bures--Wasserstein barycentres in infinite dimensions
Y. Zemel
24
1
0
15 Nov 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
54
2
0
02 Oct 2023
The geometry of financial institutions -- Wasserstein clustering of
  financial data
The geometry of financial institutions -- Wasserstein clustering of financial data
Lorenz Riess
Mathias Beiglbock
J. Temme
Andreas Wolf
Julio Backhoff
14
2
0
05 May 2023
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
25
12
0
21 Mar 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
Tyler Maunu
Thibaut Le Gouic
Philippe Rigollet
30
5
0
26 Oct 2022
Learning Optimal Transport Between two Empirical Distributions with
  Normalizing Flows
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows
Florentin Coeurdoux
N. Dobigeon
P. Chainais
OOD
OT
37
7
0
04 Jul 2022
Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
36
0
0
27 Jun 2022
Efficient Forecasting of Large Scale Hierarchical Time Series via
  Multilevel Clustering
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering
Xing Han
Tongzheng Ren
Jing Hu
Joydeep Ghosh
Nhat Ho
AI4TS
40
0
0
27 May 2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin
Vage Egiazarian
Lingxiao Li
Evgeny Burnaev
47
24
0
28 Jan 2022
Measure Estimation in the Barycentric Coding Model
Measure Estimation in the Barycentric Coding Model
Matthew Werenski
Ruijie Jiang
Abiy Tasissa
Shuchin Aeron
James M. Murphy
44
14
0
28 Jan 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Ce Ju
Cuntai Guan
53
3
0
15 Jan 2022
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
Jinjin Chi
Zhiyao Yang
Jihong Ouyang
Ximing Li
33
5
0
22 Oct 2021
Dynamical Wasserstein Barycenters for Time-series Modeling
Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin C. Cheng
Shuchin Aeron
M. C. Hughes
Eric L. Miller
37
14
0
13 Oct 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Pierre Colombo
Guillaume Staerman
Chloé Clavel
Pablo Piantanida
27
41
0
27 Aug 2021
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
25
36
0
16 Jun 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax
  Optimization
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Alexander Korotin
Lingxiao Li
Justin Solomon
Evgeny Burnaev
27
48
0
02 Feb 2021
Scalable Computations of Wasserstein Barycenter via Input Convex Neural
  Networks
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
JiaoJiao Fan
Amirhossein Taghvaei
Yongxin Chen
42
57
0
08 Jul 2020
Projection to Fairness in Statistical Learning
Projection to Fairness in Statistical Learning
Thibaut Le Gouic
Jean-Michel Loubes
Philippe Rigollet
33
3
0
24 May 2020
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
Evgeny Burnaev
GAN
131
101
0
28 Sep 2019
Bayesian Learning with Wasserstein Barycenters
Bayesian Learning with Wasserstein Barycenters
Julio D. Backhoff Veraguas
J. Fontbona
Gonzalo Rios
Felipe A. Tobar
34
29
0
28 May 2018
Fréchet Means and Procrustes Analysis in Wasserstein Space
Fréchet Means and Procrustes Analysis in Wasserstein Space
Y. Zemel
V. Panaretos
33
112
0
24 Jan 2017
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