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Statistical data analysis in the Wasserstein space

Statistical data analysis in the Wasserstein space

19 July 2019
Jérémie Bigot
ArXivPDFHTML

Papers citing "Statistical data analysis in the Wasserstein space"

13 / 13 papers shown
Title
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
Sawyer Robertson
Zhengchao Wan
Alexander Cloninger
OT
49
2
0
28 Jan 2025
Wasserstein Spatial Depth
Wasserstein Spatial Depth
F. Bachoc
Alberto González Sanz
Jean-Michel Loubes
Yisha Yao
48
1
0
16 Nov 2024
Distributional Matrix Completion via Nearest Neighbors in the
  Wasserstein Space
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
Jacob Feitelberg
Kyuseong Choi
Anish Agarwal
Raaz Dwivedi
OffRL
21
0
0
17 Oct 2024
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia
Erell Gachon
Jérémie Bigot
Elsa Cazelles
A. Mimoun
Jean-Philippe Vial
Pierre-Yves Dumas
Aguirre Mimoun
31
0
0
24 Jul 2024
Towards Optimal Customized Architecture for Heterogeneous Federated
  Learning with Contrastive Cloud-Edge Model Decoupling
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
Xingyan Chen
Tian Du
Mu Wang
Tiancheng Gu
Yu Zhao
Gang Kou
Changqiao Xu
Dapeng Oliver Wu
34
2
0
04 Mar 2024
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
18
11
0
21 Mar 2023
On the potential benefits of entropic regularization for smoothing
  Wasserstein estimators
On the potential benefits of entropic regularization for smoothing Wasserstein estimators
Jérémie Bigot
Paul Freulon
B. Hejblum
Arthur Leclaire
OT
32
2
0
13 Oct 2022
Embedding Functional Data: Multidimensional Scaling and Manifold
  Learning
Embedding Functional Data: Multidimensional Scaling and Manifold Learning
E. Arias-Castro
Wanli Qiao
32
0
0
30 Aug 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn
  Divergence
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
42
27
0
18 Jul 2022
Wasserstein multivariate auto-regressive models for modeling distributional time series
Wasserstein multivariate auto-regressive models for modeling distributional time series
Yiye Jiang
Jérémie Bigot
17
5
0
12 Jul 2022
A stochastic Gauss-Newton algorithm for regularized semi-discrete
  optimal transport
A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport
Bernard Bercu
Jérémie Bigot
S. Gadat
Emilia Siviero
26
6
0
12 Jul 2021
Understanding and Mitigating Accuracy Disparity in Regression
Understanding and Mitigating Accuracy Disparity in Regression
Jianfeng Chi
Yuan Tian
Geoffrey J. Gordon
Han Zhao
24
25
0
24 Feb 2021
Intrinsic Sliced Wasserstein Distances for Comparing Collections of
  Probability Distributions on Manifolds and Graphs
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
Raif M. Rustamov
S. Majumdar
18
12
0
28 Oct 2020
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