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Asymptotic distribution and convergence rates of stochastic algorithms
  for entropic optimal transportation between probability measures

Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures

21 December 2018
Bernard Bercu
Jérémie Bigot
ArXivPDFHTML

Papers citing "Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures"

7 / 7 papers shown
Title
A stochastic gradient descent algorithm with random search directions
A stochastic gradient descent algorithm with random search directions
Eméric Gbaguidi
ODL
80
0
0
25 Mar 2025
Monge-Kantorovich superquantiles and expected shortfalls with
  applications to multivariate risk measurements
Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements
Bernard Bercu
Jérémie Bigot
Gauthier Thurin
42
0
0
04 Jul 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
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning
Yiling Luo
X. Huo
Y. Mei
10
2
0
02 Dec 2022
Statistical data analysis in the Wasserstein space
Statistical data analysis in the Wasserstein space
Jérémie Bigot
27
29
0
19 Jul 2019
Statistical bounds for entropic optimal transport: sample complexity and
  the central limit theorem
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Gonzalo E. Mena
Jonathan Niles-Weed
OT
10
163
0
28 May 2019
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
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