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Stochastic Optimization for Large-scale Optimal Transport

Stochastic Optimization for Large-scale Optimal Transport

27 May 2016
Aude Genevay
Marco Cuturi
Gabriel Peyré
Francis R. Bach
    OT
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Papers citing "Stochastic Optimization for Large-scale Optimal Transport"

16 / 16 papers shown
Title
Linear Partial Gromov-Wasserstein Embedding
Linear Partial Gromov-Wasserstein Embedding
Yikun Bai
Abihith Kothapalli
Hengrong Du
Rocio Diaz Martin
Soheil Kolouri
49
0
0
22 Oct 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
Hao Liu
Junze Tony Ye
Ye
Jose H. Blanchet
DiffM
FedML
66
1
0
28 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler
Tam Le
Vu Nguyen
TDI
120
0
0
03 Jun 2024
A Full Adagrad algorithm with O(Nd) operations
A Full Adagrad algorithm with O(Nd) operations
Antoine Godichon-Baggioni
Wei Lu
Bruno Portier
ODL
75
0
0
03 May 2024
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm
Stephan Eckstein
49
7
0
07 Nov 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
78
2
0
02 Oct 2023
Sinkhorn Distributionally Robust Optimization
Sinkhorn Distributionally Robust Optimization
Jie Wang
Rui Gao
Yao Xie
67
37
0
24 Sep 2021
From optimal transport to generative modeling: the VEGAN cookbook
From optimal transport to generative modeling: the VEGAN cookbook
Olivier Bousquet
Sylvain Gelly
Ilya O. Tolstikhin
Carl-Johann Simon-Gabriel
B. Schoelkopf
OT
47
147
0
22 May 2017
Parallel Streaming Wasserstein Barycenters
Parallel Streaming Wasserstein Barycenters
Matthew Staib
Sebastian Claici
Justin Solomon
Stefanie Jegelka
33
89
0
21 May 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
143
4,822
0
26 Jan 2017
Wasserstein Training of Boltzmann Machines
Wasserstein Training of Boltzmann Machines
G. Montavon
K. Müller
Marco Cuturi
26
17
0
07 Jul 2015
Learning with a Wasserstein Loss
Learning with a Wasserstein Loss
Charlie Frogner
Chiyuan Zhang
H. Mobahi
Mauricio Araya-Polo
T. Poggio
43
598
0
17 Jun 2015
Non-parametric Stochastic Approximation with Large Step sizes
Non-parametric Stochastic Approximation with Large Step sizes
Aymeric Dieuleveut
Francis R. Bach
43
169
0
02 Aug 2014
Minimizing Finite Sums with the Stochastic Average Gradient
Minimizing Finite Sums with the Stochastic Average Gradient
Mark Schmidt
Nicolas Le Roux
Francis R. Bach
257
1,246
0
10 Sep 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
146
4,210
0
04 Jun 2013
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
176
2,352
0
15 May 2008
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