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1810.02733
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Sample Complexity of Sinkhorn divergences
5 October 2018
Aude Genevay
Lénaïc Chizat
Francis R. Bach
Marco Cuturi
Gabriel Peyré
OT
Re-assign community
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Papers citing
"Sample Complexity of Sinkhorn divergences"
50 / 141 papers shown
Supervised Training of Conditional Monge Maps
Neural Information Processing Systems (NeurIPS), 2022
Charlotte Bunne
Andreas Krause
Marco Cuturi
OT
308
76
0
28 Jun 2022
Diffeomorphic Registration using Sinkhorn Divergences
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2022
Lucas de Lara
Alberto González Sanz
Jean-Michel Loubes
FedML
192
9
0
28 Jun 2022
Neural Optimal Transport with General Cost Functionals
International Conference on Learning Representations (ICLR), 2022
Arip Asadulaev
Alexander Korotin
Vage Egiazarian
Petr Mokrov
Evgeny Burnaev
OT
349
41
0
30 May 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
Journal of Computational And Graphical Statistics (JCGS), 2022
Mengyu Li
Jun Yu
Hongteng Xu
Cheng Meng
224
21
0
26 May 2022
Statistical inference with regularized optimal transport
Information and Inference A Journal of the IMA (JIII), 2022
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
OT
221
41
0
09 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
FaML
DRL
383
22
0
07 May 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
E. del Barrio
Alberto González Sanz
Jean-Michel Loubes
Jonathan Niles-Weed
OT
206
42
0
19 Apr 2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters
Tim Tsz-Kit Lau
Han Liu
OOD
261
3
0
23 Mar 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Jiacheng Zhu
Gregory Darnell
Agni Kumar
Ding Zhao
Yue Liu
X. Nguyen
S. Ren
OOD
224
6
0
19 Mar 2022
Learning Sinkhorn divergences for supervised change point detection
Nauman Ahad
Eva L. Dyer
Keith B. Hengen
Yao Xie
Mark A. Davenport
394
3
0
08 Feb 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Marco Cuturi
Laetitia Meng-Papaxanthos
Yingtao Tian
Charlotte Bunne
Geoff Davis
O. Teboul
OT
328
124
0
28 Jan 2022
Entropic Optimal Transport in Random Graphs
Nicolas Keriven
OT
162
6
0
11 Jan 2022
Differentiable and Scalable Generative Adversarial Models for Data Imputation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yangyang Wu
Jun Wang
Xiaoye Miao
Wei Cao
Jianwei Yin
SyDa
153
24
0
10 Jan 2022
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report)
AAAI Conference on Artificial Intelligence (AAAI), 2021
Florent Delgrange
Ann Nowé
Guillermo A. Pérez
OffRL
239
13
0
17 Dec 2021
Randomized Stochastic Gradient Descent Ascent
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Othmane Sebbouh
Marco Cuturi
Gabriel Peyré
856
8
0
25 Nov 2021
Efficient estimates of optimal transport via low-dimensional embeddings
Patric Fulop
V. Danos
OT
120
0
0
08 Nov 2021
Robust and efficient change point detection using novel multivariate rank-energy GoF test
Shoaib Bin Masud
Shuchin Aeron
211
0
0
29 Oct 2021
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling
Shoaib Bin Masud
Matthew Werenski
James M. Murphy
Shuchin Aeron
OT
400
9
0
29 Oct 2021
Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Shin Kamada
178
17
0
25 Oct 2021
Factored couplings in multi-marginal optimal transport via difference of convex programming
Q. Tran
H. Janati
I. Redko
Rémi Flamary
Nicolas Courty
OT
292
2
0
01 Oct 2021
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
Minhui Huang
Shiqian Ma
Lifeng Lai
148
5
0
29 Sep 2021
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
257
128
0
24 Sep 2021
Optimal transport weights for causal inference
Eric A. Dunipace
CML
OT
291
11
0
05 Sep 2021
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure
George Deligiannidis
Valentin De Bortoli
Arnaud Doucet
236
23
0
18 Aug 2021
Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
283
9
0
28 Jul 2021
Estimation of Stationary Optimal Transport Plans
Information and Inference A Journal of the IMA (JIII), 2021
Kevin O'Connor
K. Mcgoff
A. Nobel
OT
188
3
0
25 Jul 2021
Asymptotics for semi-discrete entropic optimal transport
SIAM Journal on Mathematical Analysis (SIAM J. Math. Anal.), 2021
Jason M. Altschuler
Jonathan Niles-Weed
Austin J. Stromme
117
34
0
22 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo
Electronic Journal of Statistics (EJS), 2021
Ziang Niu
J. Meier
F. Briol
310
13
0
22 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Pierre Glaser
Michael Arbel
Arthur Gretton
249
39
0
16 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Charlotte Bunne
Laetitia Meng-Papaxanthos
Andreas Krause
Marco Cuturi
OT
298
104
0
11 Jun 2021
Re-evaluating Word Mover's Distance
International Conference on Machine Learning (ICML), 2021
Ryoma Sato
M. Yamada
H. Kashima
407
25
0
30 May 2021
Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes
H. Q. Minh
236
3
0
26 Apr 2021
Iterative Alignment Flows
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zeyu Zhou
Ziyu Gong
Pradeep Ravikumar
David I. Inouye
OT
DRL
296
5
0
15 Apr 2021
Regularized Optimal Transport for Dynamic Semi-supervised Learning
Mourad El Hamri
Younès Bennani
OT
113
0
0
22 Mar 2021
Low-Rank Sinkhorn Factorization
International Conference on Machine Learning (ICML), 2021
M. Scetbon
Marco Cuturi
Gabriel Peyré
172
67
0
08 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
International Conference on Machine Learning (ICML), 2021
Kilian Fatras
Thibault Séjourné
Nicolas Courty
Rémi Flamary
OT
202
177
0
05 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk
Christian Etmann
L. Kreusser
Carola-Bibiane Schönlieb
GAN
346
52
0
02 Mar 2021
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yixing Zhang
Xiuyuan Cheng
Galen Reeves
OT
130
11
0
28 Feb 2021
Mitigating Domain Mismatch in Face Recognition Using Style Matching
Neurocomputing (Neurocomputing), 2021
Chun-Hsien Lin
Bing-Fei Wu
CVBM
167
4
0
26 Feb 2021
Improving Approximate Optimal Transport Distances using Quantization
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Gaspard Beugnot
Aude Genevay
Kristjan Greenewald
Justin Solomon
OT
MQ
577
11
0
25 Feb 2021
Efficient Discretizations of Optimal Transport
Junqi Wang
Pei Wang
Patrick Shafto
OT
224
0
0
16 Feb 2021
Two-sample Test with Kernel Projected Wasserstein Distance
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jie Wang
Rui Gao
Yao Xie
301
22
0
12 Feb 2021
Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals
Anton Mallasto
OT
124
1
0
05 Feb 2021
Smooth
p
p
p
-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
International Conference on Machine Learning (ICML), 2021
Sloan Nietert
Ziv Goldfeld
Kengo Kato
220
38
0
11 Jan 2021
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
213
67
0
05 Jan 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings
M. H. Quang
210
5
0
05 Jan 2021
Matching Distributions via Optimal Transport for Semi-Supervised Learning
Fariborz Taherkhani
Hadi Kazemi
Ali Dabouei
J. Dawson
Nasser M. Nasrabadi
OT
214
1
0
04 Dec 2020
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
300
22
0
09 Nov 2020
Two-sample Test using Projected Wasserstein Distance
Jie Wang
Rui Gao
Yao Xie
402
28
0
22 Oct 2020
Bayesian Inference for Optimal Transport with Stochastic Cost
Asian Conference on Machine Learning (ACML), 2020
Anton Mallasto
Markus Heinonen
Samuel Kaski
OT
206
1
0
19 Oct 2020
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