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Near-optimal estimation of smooth transport maps with kernel
  sums-of-squares

Near-optimal estimation of smooth transport maps with kernel sums-of-squares

3 December 2021
Boris Muzellec
A. Vacher
Francis R. Bach
Franccois-Xavier Vialard
Alessandro Rudi
    OT
ArXivPDFHTML

Papers citing "Near-optimal estimation of smooth transport maps with kernel sums-of-squares"

17 / 17 papers shown
Title
A Specialized Semismooth Newton Method for Kernel-Based Optimal
  Transport
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
Tianyi Lin
Marco Cuturi
Michael I. Jordan
OT
36
0
0
21 Oct 2023
GloptiNets: Scalable Non-Convex Optimization with Certificates
GloptiNets: Scalable Non-Convex Optimization with Certificates
Gaspard Beugnot
Julien Mairal
Alessandro Rudi
11
0
0
26 Jun 2023
Learning Elastic Costs to Shape Monge Displacements
Learning Elastic Costs to Shape Monge Displacements
Michal Klein
Aram-Alexandre Pooladian
Pierre Ablin
Eugène Ndiaye
Jonathan Niles-Weed
Marco Cuturi
45
3
0
20 Jun 2023
Semi-supervised Learning of Pushforwards For Domain Translation &
  Adaptation
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
N. Panda
Natalie Klein
Dominic Yang
P. Gasda
Diane Oyen
27
1
0
18 Apr 2023
Efficient Sampling of Stochastic Differential Equations with Positive
  Semi-Definite Models
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Anant Raj
Umut Simsekli
Alessandro Rudi
DiffM
10
1
0
30 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
28
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
25
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
29
22
0
07 Dec 2022
Moment-SoS Methods for Optimal Transport Problems
Moment-SoS Methods for Optimal Transport Problems
Olga Mula
A. Nouy
OT
13
9
0
19 Nov 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
Statistical inference with regularized optimal transport
Statistical inference with regularized optimal transport
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
OT
33
34
0
09 May 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
17
4
0
17 Mar 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
Aram-Alexandre Pooladian
Marco Cuturi
Jonathan Niles-Weed
OT
29
16
0
17 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
40
14
0
28 Jan 2022
Parameter tuning and model selection in optimal transport with semi-dual
  Brenier formulation
Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation
A. Vacher
Franccois-Xavier Vialard
OT
16
3
0
14 Dec 2021
Entropic estimation of optimal transport maps
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
82
105
0
24 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
43
15
0
12 Aug 2021
1