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Fast Computation of Wasserstein Barycenters
v1v2v3 (latest)

Fast Computation of Wasserstein Barycenters

16 October 2013
Marco Cuturi
Arnaud Doucet
    OT
ArXiv (abs)PDFHTML

Papers citing "Fast Computation of Wasserstein Barycenters"

50 / 358 papers shown
Title
Adversarial Distribution Balancing for Counterfactual Reasoning
Adversarial Distribution Balancing for Counterfactual Reasoning
Stefan Schrod
Fabian H. Sinz
Michael Altenbuchinger
OODCML
127
1
0
28 Nov 2023
Data Valuation and Detections in Federated Learning
Data Valuation and Detections in Federated Learning
Wenqian Li
Shuran Fu
Fengrui Zhang
Yan Pang
FedMLTDI
136
13
0
09 Nov 2023
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm
Stephan Eckstein
188
9
0
07 Nov 2023
Sample Complexity Bounds for Estimating Probability Divergences under
  Invariances
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
B. Tahmasebi
Stefanie Jegelka
182
8
0
06 Nov 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CMLOOD
290
2
0
16 Oct 2023
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
Zhichen Zeng
Boxin Du
Si Zhang
Yinglong Xia
Zhining Liu
Hanghang Tong
OT
144
22
0
06 Oct 2023
Multimarginal generative modeling with stochastic interpolants
Multimarginal generative modeling with stochastic interpolants
M. S. Albergo
Nicholas M. Boffi
Michael Lindsey
Eric Vanden-Eijnden
141
13
0
05 Oct 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
299
3
0
02 Oct 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein
  Distance
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
Junjie Yang
Matthieu Labeau
Steeven Villa
OT
117
1
0
28 Sep 2023
Accelerating Motion Planning via Optimal Transport
Accelerating Motion Planning via Optimal Transport
An T. Le
Georgia Chalvatzaki
Armin Biess
Jan Peters
OT
114
20
0
27 Sep 2023
Monte-Carlo tree search with uncertainty propagation via optimal
  transport
Monte-Carlo tree search with uncertainty propagation via optimal transport
Tuan Dam
Pascal Stenger
Lukas Schneider
Joni Pajarinen
Carlo DÉramo
Odalric-Ambrym Maillard
65
1
0
19 Sep 2023
Multi-Source Domain Adaptation meets Dataset Distillation through
  Dataset Dictionary Learning
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
DD
69
4
0
14 Sep 2023
Multi-Source Domain Adaptation through Dataset Dictionary Learning in
  Wasserstein Space
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OOD
142
15
0
27 Jul 2023
PT$\mathrm{L}^{p}$: Partial Transport $\mathrm{L}^{p}$ Distances
PTLp\mathrm{L}^{p}Lp: Partial Transport Lp\mathrm{L}^{p}Lp Distances
Hengrong Du
Yikun Bai
Huy Tran
Zhanqi Zhu
Matthew Thorpe
Soheil Kolouri
OT
144
1
0
25 Jul 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via
  Damped Sinkhorn Iterations
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
Lénaïc Chizat
Tomas Vaskevicius
78
1
0
25 Jul 2023
Recent Advances in Optimal Transport for Machine Learning
Recent Advances in Optimal Transport for Machine Learning
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OODOT
162
57
0
28 Jun 2023
Unbalanced Diffusion Schrödinger Bridge
Unbalanced Diffusion Schrödinger Bridge
Matteo Pariset
Ya-Ping Hsieh
Charlotte Bunne
Andreas Krause
Valentin De Bortoli
DiffMOT
115
6
0
15 Jun 2023
Importance Sparsification for Sinkhorn Algorithm
Importance Sparsification for Sinkhorn Algorithm
Mengyun Li
Jun Yu
Tao Li
Cheng Meng
OT
148
8
0
11 Jun 2023
The Fisher Geometry and Geodesics of the Multivariate Normals, without
  Differential Geometry
The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry
Brodie A. J. Lawson
K. Burrage
Kerrie Mengersen
R. D. Santos
56
0
0
02 Jun 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to
  Wasserstein Barycenters
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
Maxence Noble
Valentin De Bortoli
Arnaud Doucet
Alain Durmus
DiffMOT
150
11
0
26 May 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Hanna Ziesche
Leonel Rozo
112
9
0
17 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
234
22
0
08 May 2023
Geodesically convex $M$-estimation in metric spaces
Geodesically convex MMM-estimation in metric spaces
Victor-Emmanuel Brunel
164
2
0
05 May 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
107
2
0
05 May 2023
Wasserstein Dictionaries of Persistence Diagrams
Wasserstein Dictionaries of Persistence Diagrams
Keanu Sisouk
J. Delon
Julien Tierny
114
3
0
28 Apr 2023
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter
  Problem
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem
Chao Zhang
Hui Qian
Jiahao Xie
68
1
0
23 Apr 2023
Wasserstein Principal Component Analysis for Circular Measures
Wasserstein Principal Component Analysis for Circular Measures
Mario Beraha
M. Pegoraro
92
2
0
05 Apr 2023
Optimal transport and Wasserstein distances for causal models
Optimal transport and Wasserstein distances for causal models
Patrick Cheridito
Stephan Eckstein
OT
151
12
0
24 Mar 2023
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
135
15
0
21 Mar 2023
Concentration of empirical barycenters in metric spaces
Concentration of empirical barycenters in metric spaces
Victor-Emmanuel Brunel
Jordan Serres
156
5
0
02 Mar 2023
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value Imputation
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
135
28
0
20 Feb 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in
  High-Dimensions with Feature-Sparse Maps
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
Marco Cuturi
Stephen Zhang
Pierre Ablin
OT
122
16
0
08 Feb 2023
Linear Optimal Partial Transport Embedding
Linear Optimal Partial Transport Embedding
Yikun Bai
Ivan Medri
Rocio Diaz Martin
Rana Muhammad Shahroz Khan
Soheil Kolouri
OT
186
11
0
07 Feb 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Yiling Luo
Yiling Xie
X. Huo
111
8
0
23 Jan 2023
Beckman Defense
Beckman Defense
A. V. Subramanyam
OODAAML
114
0
0
04 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling
  Operations
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
Hongteng Xu
Minjie Cheng
137
4
0
13 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node
  Attribution
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
127
26
0
25 Nov 2022
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Marin Ballu
Quentin Berthet
156
8
0
18 Nov 2022
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbavaram Gowtham Reddy
V. Balasubramanian
CML
165
1
0
08 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin
Alexander Kolesov
Alexander Korotin
Dmitry Vetrov
Evgeny Burnaev
OTDiffM
179
46
0
02 Nov 2022
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds
G. Huguet
Alexander Tong
María Ramos Zapatero
Christopher J. Tape
Guy Wolf
Smita Krishnaswamy
OT
132
7
0
02 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous
  Graphs
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
Marios Papachristou
Rishab Goel
Frank Portman
M. Miller
Rong Jin
115
0
0
01 Nov 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware
  Prototypical Networks
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish
Kawshik Kannan
Nabila Abraham
Anasuya Das
Benjamin Odry
VLM
128
0
0
22 Oct 2022
Learning Ultrametric Trees for Optimal Transport Regression
Learning Ultrametric Trees for Optimal Transport Regression
Samantha Chen
Puoya Tabaghi
Yusu Wang
OT
136
3
0
21 Oct 2022
Geometric Sparse Coding in Wasserstein Space
Geometric Sparse Coding in Wasserstein Space
M. Mueller
Shuchin Aeron
James M. Murphy
Abiy Tasissa
88
4
0
21 Oct 2022
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
Corinna Coupette
Sebastian Dalleiger
Bastian Rieck
146
16
0
21 Oct 2022
Stability of Entropic Wasserstein Barycenters and application to random
  geometric graphs
Stability of Entropic Wasserstein Barycenters and application to random geometric graphs
Marc Theveneau
Nicolas Keriven
110
4
0
19 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
156
30
0
18 Oct 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity
  of Neural Networks
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
A. K. Akash
Sixu Li
Nicolas García Trillos
118
13
0
13 Oct 2022
Nonparametric and Regularized Dynamical Wasserstein Barycenters for
  Sequential Observations
Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations
Kevin C. Cheng
Shuchin Aeron
M. C. Hughes
Preetish Rath
124
2
0
04 Oct 2022
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