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Rates of Estimation of Optimal Transport Maps using Plug-in Estimators
  via Barycentric Projections

Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections

4 July 2021
Nabarun Deb
Promit Ghosal
B. Sen
    OT
ArXivPDFHTML

Papers citing "Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections"

23 / 23 papers shown
Title
Bandit Optimal Transport
Bandit Optimal Transport
Lorenzo Croissant
84
0
0
11 Feb 2025
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
Matthew Werenski
Brendan Mallery
Shuchin Aeron
James M. Murphy
46
0
0
31 Oct 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OT
46
1
0
18 Mar 2024
A New Perspective On Denoising Based On Optimal Transport
A New Perspective On Denoising Based On Optimal Transport
Nicolas García Trillos
Bodhisattva Sen
OOD
OT
48
0
0
13 Dec 2023
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
40
7
0
05 Dec 2023
Manifold learning in Wasserstein space
Manifold learning in Wasserstein space
Keaton Hamm
Caroline Moosmüller
Bernhard Schmitzer
Matthew Thorpe
54
5
0
14 Nov 2023
Light Schrödinger Bridge
Light Schrödinger Bridge
Alexander Korotin
Nikita Gushchin
Evgeny Burnaev
OT
46
4
0
02 Oct 2023
Light Unbalanced Optimal Transport
Light Unbalanced Optimal Transport
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
36
1
0
14 Mar 2023
Stochastic optimal transport in Banach Spaces for regularized estimation
  of multivariate quantiles
Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles
Bernard Bercu
Jérémie Bigot
Gauthier Thurin
39
2
0
02 Feb 2023
Minimax estimation of discontinuous optimal transport maps: The
  semi-discrete case
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Aram-Alexandre Pooladian
Vincent Divol
Jonathan Niles-Weed
OT
32
20
0
26 Jan 2023
Optimal transport map estimation in general function spaces
Optimal transport map estimation in general function spaces
Vincent Divol
Jonathan Niles-Weed
Aram-Alexandre Pooladian
OT
42
22
0
07 Dec 2022
On Efficient and Scalable Computation of the Nonparametric Maximum
  Likelihood Estimator in Mixture Models
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
Yangjing Zhang
Ying Cui
B. Sen
Kim-Chuan Toh
32
5
0
16 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
52
27
0
18 Jul 2022
Stability and upper bounds for statistical estimation of unbalanced
  transport potentials
Stability and upper bounds for statistical estimation of unbalanced transport potentials
A. Vacher
Franccois-Xavier Vialard
OT
33
4
0
17 Mar 2022
Empirical Optimal Transport between Different Measures Adapts to Lower
  Complexity
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
46
22
0
21 Feb 2022
Rates of convergence for nonparametric estimation of singular
  distributions using generative adversarial networks
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
Minwoo Chae
GAN
37
4
0
07 Feb 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
Near-optimal estimation of smooth transport maps with kernel
  sums-of-squares
Near-optimal estimation of smooth transport maps with kernel sums-of-squares
Boris Muzellec
A. Vacher
Francis R. Bach
Franccois-Xavier Vialard
Alessandro Rudi
OT
32
20
0
03 Dec 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
60
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
33
92
0
26 Jul 2021
Estimation of Stationary Optimal Transport Plans
Estimation of Stationary Optimal Transport Plans
Kevin O'Connor
K. Mcgoff
A. Nobel
OT
37
3
0
25 Jul 2021
Limit laws of the empirical Wasserstein distance: Gaussian distributions
Limit laws of the empirical Wasserstein distance: Gaussian distributions
Thomas Rippl
Axel Munk
A. Sturm
57
64
0
15 Jul 2015
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
185
2,578
0
28 Mar 2008
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