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Subspace Robust Wasserstein Distances
v1v2v3v4v5 (latest)

Subspace Robust Wasserstein Distances

25 January 2019
François-Pierre Paty
Marco Cuturi
ArXiv (abs)PDFHTML

Papers citing "Subspace Robust Wasserstein Distances"

18 / 18 papers shown
Title
Massively scalable Sinkhorn distances via the Nyström method
Massively scalable Sinkhorn distances via the Nyström method
Jason M. Altschuler
Francis R. Bach
Alessandro Rudi
Jonathan Niles-Weed
48
110
0
12 Dec 2018
Sample Complexity of Sinkhorn divergences
Sample Complexity of Sinkhorn divergences
Aude Genevay
Lénaïc Chizat
Francis R. Bach
Marco Cuturi
Gabriel Peyré
OT
77
288
0
05 Oct 2018
Statistical Optimal Transport via Factored Couplings
Statistical Optimal Transport via Factored Couplings
Aden Forrow
Jan-Christian Hütter
Mor Nitzan
Philippe Rigollet
Geoffrey Schiebinger
Jonathan Niles-Weed
OT
152
69
0
19 Jun 2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative
  Model
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Soheil Kolouri
Phillip E. Pope
Charles E. Martin
Gustavo K. Rohde
36
94
0
05 Apr 2018
Generative Modeling using the Sliced Wasserstein Distance
Generative Modeling using the Sliced Wasserstein Distance
Ishani Deshpande
Ziyu Zhang
Alex Schwing
GAN
55
226
0
29 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
222
2,148
0
01 Mar 2018
Advances in Pre-Training Distributed Word Representations
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
Edouard Grave
Piotr Bojanowski
Christian Puhrsch
Armand Joulin
AI4TSVLM
147
1,244
0
26 Dec 2017
Smooth and Sparse Optimal Transport
Smooth and Sparse Optimal Transport
Mathieu Blondel
Vivien Seguy
Antoine Rolet
OT
61
175
0
17 Oct 2017
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
202
421
0
01 Jul 2017
Frank-Wolfe Algorithms for Saddle Point Problems
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel
Tony Jebara
Simon Lacoste-Julien
79
71
0
25 Oct 2016
Regularized Optimal Transport and the Rot Mover's Distance
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein
Nicolas Papadakis
Jean-Luc Rouas
OT
79
84
0
20 Oct 2016
Wasserstein Discriminant Analysis
Wasserstein Discriminant Analysis
Rémi Flamary
Marco Cuturi
Nicolas Courty
A. Rakotomamonjy
93
103
0
29 Aug 2016
Sliced Wasserstein Kernels for Probability Distributions
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri
Yang Zou
Gustavo K. Rohde
39
161
0
10 Nov 2015
On the rate of convergence in Wasserstein distance of the empirical
  measure
On the rate of convergence in Wasserstein distance of the empirical measure
N. Fournier
Arnaud Guillin
179
1,143
0
07 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
215
4,277
0
04 Jun 2013
Learning Probability Measures with respect to Optimal Transport Metrics
Learning Probability Measures with respect to Optimal Transport Metrics
Guillermo D. Cañas
Lorenzo Rosasco
OT
85
101
0
05 Sep 2012
Ground Metric Learning
Ground Metric Learning
Marco Cuturi
D. Avis
92
106
0
11 Oct 2011
Explicit Approximations of the Gaussian Kernel
Explicit Approximations of the Gaussian Kernel
Andrew Cotter
Joseph Keshet
Nathan Srebro
84
60
0
21 Sep 2011
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