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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
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Papers citing
"Sample Complexity of Sinkhorn divergences"
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259
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Simplifying Optimal Transport through Schatten-
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Differentially Private Wasserstein Barycenters
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279
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E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge
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114
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15 Sep 2025
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
Samuel Boïté
Eloi Tanguy
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A. Desolneux
Rémi Flamary
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333
1
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02 Sep 2025
Sparse Partial Optimal Transport via Quadratic Regularization
Journal of Computer Science (JCS), 2025
K. Tran
K. Nguyen
Anh Nguyen
Thong Huynh
Son Pham
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Manh Pham
Bang Vo
M. Tran
Mai Ngoc Tran
Dung Luong
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114
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11 Aug 2025
Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework
Zhengqi Lin
Yan Chen
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219
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19 Jun 2025
On Fitting Flow Models with Large Sinkhorn Couplings
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Alireza Mousavi-Hosseini
Stephen Zhang
Marco Cuturi
310
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05 Jun 2025
Neural Estimation for Scaling Entropic Multimarginal Optimal Transport
Dor Tsur
Ziv Goldfeld
Kristjan Greenewald
Haim Permuter
153
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31 May 2025
Kernel Quantile Embeddings and Associated Probability Metrics
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Siu Lun Chau
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Krikamol Muandet
307
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26 May 2025
Distributionally Robust Deep Q-Learning
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297
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Flow Matching Ergodic Coverage
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Allison Pinosky
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229
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Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
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Li Fan
Chenke Yin
Menglin Kong
Chengtao Ji
OffRL
273
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22 Feb 2025
Bandit Optimal Transport
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305
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11 Feb 2025
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
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Joseph Janssen
Hossein Rahmani
Andrew Warren
Stephen X. Zhang
Elina Robeva
Geoffrey Schiebinger
DiffM
455
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30 Oct 2024
The Benefits of Balance: From Information Projections to Variance Reduction
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Lang Liu
Ronak R. Mehta
Soumik Pal
Zaïd Harchaoui
335
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27 Aug 2024
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces
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David Alvarez-Melis
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234
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20 Jul 2024
Progressive Entropic Optimal Transport Solvers
Neural Information Processing Systems (NeurIPS), 2024
Parnian Kassraie
Aram-Alexandre Pooladian
Stephen Zhang
James Thornton
Jonathan Niles-Weed
Marco Cuturi
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312
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07 Jun 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang
M. Boedihardjo
Yao Xie
400
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24 May 2024
Neural Estimation Of Entropic Optimal Transport
Tao Wang
Ziv Goldfeld
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252
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10 May 2024
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
Ahmed Elhussein
Gamze Gürsoy
FedML
OOD
317
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29 Apr 2024
Enhancing selectivity using Wasserstein distance based reweighing
Pratik Worah
OOD
300
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21 Jan 2024
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance
SeungHwan An
Sungchul Hong
Jong-June Jeon
220
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06 Dec 2023
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures
Matthew Werenski
James M. Murphy
Shuchin Aeron
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234
4
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Sample Complexity Bounds for Estimating Probability Divergences under Invariances
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Stefanie Jegelka
286
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Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
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F. Pichi
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314
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Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
IEEE Transactions on Medical Imaging (TMI), 2023
M. Valiuddin
Christiaan Viviers
R. V. Sloun
Peter H. N. de With
Fons van der Sommen
UQCV
469
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31 Jul 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
Lénaïc Chizat
Tomas Vaskevicius
146
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25 Jul 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data
Electronic Journal of Statistics (EJS), 2023
Donlapark Ponnoprat
Ryotaro Okano
Masaaki Imaizumi
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260
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18 Jul 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Mete Kemertas
Allan D. Jepson
Amir-massoud Farahmand
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400
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17 Jul 2023
Recent Advances in Optimal Transport for Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OOD
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233
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28 Jun 2023
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Michel Groppe
Shayan Hundrieser
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211
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Fitted value iteration methods for bicausal optimal transport
Erhan Bayraktar
Bingyan Han
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263
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Minimum intrinsic dimension scaling for entropic optimal transport
Austin J. Stromme
212
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Unbalanced Low-rank Optimal Transport Solvers
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M. Scetbon
Stephen Zhang
Giovanni Palla
Marco Cuturi
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211
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31 May 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
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Waïss Azizian
F. Iutzeler
J. Malick
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335
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26 May 2023
Energy-guided Entropic Neural Optimal Transport
International Conference on Learning Representations (ICLR), 2023
Petr Mokrov
Alexander Korotin
Alexander Kolesov
Nikita Gushchin
Evgeny Burnaev
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602
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12 Apr 2023
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
308
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21 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
International Conference on Machine Learning (ICML), 2023
Théo Uscidda
Marco Cuturi
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203
34
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09 Feb 2023
Sample Complexity of Probability Divergences under Group Symmetry
International Conference on Machine Learning (ICML), 2023
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Weixia Zhu
453
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03 Feb 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
International Conference on Machine Learning (ICML), 2023
Ayush Bharti
Masha Naslidnyk
Oscar Key
Samuel Kaski
F. Briol
476
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27 Jan 2023
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity
Annals of Statistics (Ann. Stat.), 2022
Zhengxin Zhang
Ziv Goldfeld
Youssef Mroueh
Bharath K. Sriperumbudur
OT
323
25
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25 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
289
61
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16 Nov 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
David Alvarez-Melis
Nicolò Fusi
Lester W. Mackey
Tal Wagner
OT
216
1
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Stability of Entropic Wasserstein Barycenters and application to random geometric graphs
Marc Theveneau
Nicolas Keriven
286
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Towards Explaining Distribution Shifts
International Conference on Machine Learning (ICML), 2022
Sean Kulinski
David I. Inouye
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321
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On the potential benefits of entropic regularization for smoothing Wasserstein estimators
Electronic Journal of Statistics (EJS), 2022
Jérémie Bigot
Paul Freulon
B. Hejblum
Arthur Leclaire
OT
295
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Discovering Conservation Laws using Optimal Transport and Manifold Learning
Nature Communications (Nat Commun), 2022
Peter Y. Lu
Rumen Dangovski
M. Soljavcić
226
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Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
237
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Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences
Alberto González Sanz
Jean-Michel Loubes
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229
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