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A stochastic Gauss-Newton algorithm for regularized semi-discrete
  optimal transport

A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport

12 July 2021
Bernard Bercu
Jérémie Bigot
S. Gadat
Emilia Siviero
ArXivPDFHTML

Papers citing "A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport"

4 / 4 papers shown
Title
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms
Antoine Godichon-Baggioni
Wei Lu
Bruno Portier
49
1
0
15 Jan 2024
On Adaptive Stochastic Optimization for Streaming Data: A Newton's
  Method with O(dN) Operations
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations
Antoine Godichon-Baggioni
Nicklas Werge
ODL
45
3
0
29 Nov 2023
Non asymptotic analysis of Adaptive stochastic gradient algorithms and
  applications
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications
Antoine Godichon-Baggioni
Pierre Tarrago
27
5
0
01 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
1