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Statistical inference with regularized optimal transport

Statistical inference with regularized optimal transport

9 May 2022
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
    OT
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Papers citing "Statistical inference with regularized optimal transport"

29 / 29 papers shown
Title
Streaming Sliced Optimal Transport
Streaming Sliced Optimal Transport
Khai Nguyen
OT
45
0
0
11 May 2025
Conditional simulation via entropic optimal transport: Toward
  non-parametric estimation of conditional Brenier maps
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
Ricardo Baptista
Aram-Alexandre Pooladian
Michael C. Brennan
Youssef Marzouk
Jonathan Niles-Weed
OT
34
2
0
11 Nov 2024
Optimal Transportation by Orthogonal Coupling Dynamics
Optimal Transportation by Orthogonal Coupling Dynamics
Mohsen Sadr
Peyman Mohajerin Esfehani
Hossein Gorji
OT
35
0
0
10 Oct 2024
Plug-in estimation of Schrödinger bridges
Plug-in estimation of Schrödinger bridges
Aram-Alexandre Pooladian
Jonathan Niles-Weed
DiffM
OT
43
1
0
21 Aug 2024
Bounding adapted Wasserstein metrics
Bounding adapted Wasserstein metrics
Zhe Liu
Martin Larsson
Jonghwa Park
Johannes Wiesel
OT
46
1
0
31 Jul 2024
Smoothed NPMLEs in nonparametric Poisson mixtures and beyond
Smoothed NPMLEs in nonparametric Poisson mixtures and beyond
Keunwoo Lim
Fang Han
OT
23
1
0
13 Jun 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications
  to Models Benchmarking
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
Gabriel Rioux
Apoorva Nitsure
Mattia Rigotti
Kristjan Greenewald
Youssef Mroueh
32
1
0
10 Jun 2024
Distributional Counterfactual Explanations With Optimal Transport
Distributional Counterfactual Explanations With Optimal Transport
Lei You
Lele Cao
Mattias Nilsson
Bo Zhao
Lei Lei
OT
OffRL
20
1
0
23 Jan 2024
Limit Distribution Theory for Quantum Divergences
Limit Distribution Theory for Quantum Divergences
Sreejith Sreekumar
Mario Berta
20
2
0
22 Nov 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional
  Data
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data
Donlapark Ponnoprat
Ryotaro Okano
Masaaki Imaizumi
OT
23
1
0
18 Jul 2023
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Michel Groppe
Shayan Hundrieser
OT
26
10
0
23 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport
Minimum intrinsic dimension scaling for entropic optimal transport
Austin J. Stromme
24
10
0
06 Jun 2023
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for
  Cortical Surface Reconstruction
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
Tung Le
Khai Nguyen
Shanlin Sun
Kun Han
Nhat Ho
Xiaohui Xie
27
5
0
27 May 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth
  Costs
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs
Alberto González Sanz
Shayan Hundrieser
OT
34
9
0
16 May 2023
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and
  Sample Complexity
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity
Zhengxin Zhang
Ziv Goldfeld
Youssef Mroueh
Bharath K. Sriperumbudur
OT
22
15
0
25 Dec 2022
The out-of-sample prediction error of the square-root-LASSO and related
  estimators
The out-of-sample prediction error of the square-root-LASSO and related estimators
J. M. Olea
Cynthia Rush
Amilcar Velez
J. Wiesel
OOD
37
6
0
14 Nov 2022
Statistical, Robustness, and Computational Guarantees for Sliced
  Wasserstein Distances
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
32
37
0
17 Oct 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
Weak limits of entropy regularized Optimal Transport; potentials, plans
  and divergences
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences
Alberto González Sanz
Jean-Michel Loubes
Jonathan Niles-Weed
OT
19
22
0
15 Jul 2022
On the sample complexity of entropic optimal transport
On the sample complexity of entropic optimal transport
Philippe Rigollet
Austin J. Stromme
OT
27
40
0
27 Jun 2022
Distributional Convergence of the Sliced Wasserstein Process
Distributional Convergence of the Sliced Wasserstein Process
Jiaqi Xi
Jonathan Niles-Weed
19
6
0
01 Jun 2022
Central limit theorem for the Sliced 1-Wasserstein distance and the
  max-Sliced 1-Wasserstein distance
Central limit theorem for the Sliced 1-Wasserstein distance and the max-Sliced 1-Wasserstein distance
Xianliang Xu
Zhongyi Huang
19
4
0
29 May 2022
Wasserstein Distributionally Robust Optimization with Wasserstein
  Barycenters
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters
Tim Tsz-Kit Lau
Han Liu
OOD
34
2
0
23 Mar 2022
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport
  distance
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
Fang Han
Zhen Miao
Yandi Shen
OT
30
7
0
04 Dec 2021
Inferential Wasserstein Generative Adversarial Networks
Inferential Wasserstein Generative Adversarial Networks
Yao Chen
Qingyi Gao
Xiao Wang
GAN
96
19
0
13 Sep 2021
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear
  Difference-in-Differences
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
William Torous
F. Gunsilius
Philippe Rigollet
OT
46
15
0
12 Aug 2021
Plugin Estimation of Smooth Optimal Transport Maps
Plugin Estimation of Smooth Optimal Transport Maps
Tudor Manole
Sivaraman Balakrishnan
Jonathan Niles-Weed
Larry A. Wasserman
OT
21
92
0
26 Jul 2021
Martingale Methods for Sequential Estimation of Convex Functionals and
  Divergences
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences
Tudor Manole
Aaditya Ramdas
20
19
0
16 Mar 2021
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and
  Statistical Applications
Smooth ppp-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Sloan Nietert
Ziv Goldfeld
Kengo Kato
31
30
0
11 Jan 2021
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