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Near-linear time approximation algorithms for optimal transport via
  Sinkhorn iteration
v1v2 (latest)

Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration

26 May 2017
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
    OT
ArXiv (abs)PDFHTML

Papers citing "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration"

50 / 305 papers shown
An Optimal Transport Approach for Computing Adversarial Training Lower
  Bounds in Multiclass Classification
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
Matthew Werenski
AAML
196
5
0
17 Jan 2024
Fast Dual Subgradient Optimization of the Integrated Transportation
  Distance Between Stochastic Kernels
Fast Dual Subgradient Optimization of the Integrated Transportation Distance Between Stochastic Kernels
Zhengqi Lin
Andrzej Ruszczynski
168
4
0
03 Dec 2023
Covariance alignment: from maximum likelihood estimation to
  Gromov-Wasserstein
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein
Yanjun Han
Philippe Rigollet
George Stepaniants
OT
183
3
0
22 Nov 2023
Optimal Transport with Cyclic Symmetry
Optimal Transport with Cyclic SymmetryAAAI Conference on Artificial Intelligence (AAAI), 2023
Shoichiro Takeda
Yasunori Akagi
Naoki Marumo
Kenta Niwa
108
1
0
22 Nov 2023
Estimation of entropy-regularized optimal transport maps between
  non-compactly supported measures
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures
Matthew Werenski
James M. Murphy
Shuchin Aeron
OT
235
4
0
20 Nov 2023
Optimal Transport for Treatment Effect Estimation
Optimal Transport for Treatment Effect EstimationNeural Information Processing Systems (NeurIPS), 2023
Hao Wang
Zhichao Chen
Jiajun Fan
Haoxuan Li
Tianqiao Liu
Weiming Liu
Quanyu Dai
Yichao Wang
Zhenhua Dong
Ruiming Tang
OTCML
214
52
0
27 Oct 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Learning to Rank for Active Learning via Multi-Task Bilevel OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Zixin Ding
Si-An Chen
Ruoxi Jia
Yuxin Chen
291
2
0
25 Oct 2023
Sparsistency for Inverse Optimal Transport
Sparsistency for Inverse Optimal TransportInternational Conference on Learning Representations (ICLR), 2023
Francisco Andrade
Gabriel Peyré
Clarice Poon
229
7
0
09 Oct 2023
Compressed online Sinkhorn
Compressed online Sinkhorn
Fengpei Wang
Clarice Poon
Tony Shardlow
131
1
0
08 Oct 2023
Accelerating Motion Planning via Optimal Transport
Accelerating Motion Planning via Optimal TransportNeural Information Processing Systems (NeurIPS), 2023
An T. Le
Georgia Chalvatzaki
Armin Biess
Jan Peters
OT
199
21
0
27 Sep 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology
Topological Node2vec: Enhanced Graph Embedding via Persistent HomologyJournal of machine learning research (JMLR), 2023
Yasuaki Hiraoka
Yusuke Imoto
Killian Meehan
Théo Lacombe
Toshiaki Yachimura
208
7
0
15 Sep 2023
Optimal Transport with Tempered Exponential Measures
Optimal Transport with Tempered Exponential MeasuresAAAI Conference on Artificial Intelligence (AAAI), 2023
Ehsan Amid
Frank Nielsen
Richard Nock
Manfred K. Warmuth
OT
339
4
0
07 Sep 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via
  Damped Sinkhorn Iterations
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
Lénaïc Chizat
Tomas Vaskevicius
150
1
0
25 Jul 2023
Memory Efficient And Minimax Distribution Estimation Under Wasserstein
  Distance Using Bayesian Histograms
Memory Efficient And Minimax Distribution Estimation Under Wasserstein Distance Using Bayesian Histograms
P. Jacobs
Lekha Patel
A. Bhattacharya
D. Pati
159
1
0
19 Jul 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Mete Kemertas
Allan D. Jepson
Amir-massoud Farahmand
OT
400
5
0
17 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal
  Interpretability
Probabilistic Constrained Reinforcement Learning with Formal InterpretabilityInternational Conference on Machine Learning (ICML), 2023
Yanran Wang
Qiuchen Qian
David E. Boyle
335
5
0
13 Jul 2023
Simulation-free Schrödinger bridges via score and flow matching
Simulation-free Schrödinger bridges via score and flow matchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alexander Tong
Nikolay Malkin
Kilian Fatras
Lazar Atanackovic
Yanlei Zhang
G. Huguet
Guy Wolf
Yoshua Bengio
DiffMOT
317
59
0
07 Jul 2023
A Near-Linear Time Algorithm for the Chamfer Distance
A Near-Linear Time Algorithm for the Chamfer Distance
Ainesh Bakshi
Piotr Indyk
Rajesh Jayaram
Sandeep Silwal
Erik Waingarten
211
15
0
06 Jul 2023
Unbalanced Optimal Transport: A Unified Framework for Object Detection
Unbalanced Optimal Transport: A Unified Framework for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Henri De Plaen
Pierre-François De Plaen
Johan A. K. Suykens
Marc Proesmans
Tinne Tuytelaars
Luc Van Gool
OT
182
14
0
05 Jul 2023
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Guillaume Mahey
Laetitia Chapel
Gilles Gasso
Clément Bonet
Nicolas Courty
OT
192
5
0
04 Jul 2023
Safe Screening for Unbalanced Optimal Transport
Safe Screening for Unbalanced Optimal Transport
Xun Su
Zhongxi Fang
Hiroyuki Kasai
OT
252
0
0
01 Jul 2023
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Michel Groppe
Shayan Hundrieser
OT
219
14
0
23 Jun 2023
Fitted value iteration methods for bicausal optimal transport
Fitted value iteration methods for bicausal optimal transport
Erhan Bayraktar
Bingyan Han
OT
263
10
0
22 Jun 2023
Importance Sparsification for Sinkhorn Algorithm
Importance Sparsification for Sinkhorn AlgorithmJournal of machine learning research (JMLR), 2023
Mengyun Li
Jun Yu
Tao Li
Cheng Meng
OT
331
11
0
11 Jun 2023
Unbalanced Low-rank Optimal Transport Solvers
Unbalanced Low-rank Optimal Transport SolversNeural Information Processing Systems (NeurIPS), 2023
M. Scetbon
Stephen Zhang
Giovanni Palla
Marco Cuturi
OT
211
6
0
31 May 2023
Transporting Densities Across Dimensions
Transporting Densities Across Dimensions
Michael Plainer
Felix Dietrich
Ioannis G. Kevrekidis
OT
92
0
0
25 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through
  Optimal Transport and Probabilistic Diffusion Models
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Z. Y. Wan
Ricardo Baptista
Yi-fan Chen
John R. Anderson
Anudhyan Boral
Fei Sha
Leonardo Zepeda-Núñez
DiffM
245
32
0
24 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
447
29
0
08 May 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Ben Fei
Weidong Yang
Liwen Liu
Tian-jian Luo
Rui Zhang
Shouqing Yang
Ying He
3DPC
235
26
0
08 May 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Multisample Flow Matching: Straightening Flows with Minibatch CouplingsInternational Conference on Machine Learning (ICML), 2023
Aram-Alexandre Pooladian
Heli Ben-Hamu
Carles Domingo-Enrich
Brandon Amos
Y. Lipman
Ricky T. Q. Chen
357
204
0
28 Apr 2023
Non-asymptotic convergence bounds for Sinkhorn iterates and their
  gradients: a coupling approach
Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approachAnnual Conference Computational Learning Theory (COLT), 2023
Giacomo Greco
Maxence Noble
Giovanni Conforti
Alain Durmus
OT
167
8
0
13 Apr 2023
Removing supervision in semantic segmentation with local-global matching
  and area balancing
Removing supervision in semantic segmentation with local-global matching and area balancing
Simone Rossetti
Nico Sama
F. Pirri
VLM
300
0
0
30 Mar 2023
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value ImputationInternational Conference on Machine Learning (ICML), 2023
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
199
33
0
20 Feb 2023
On Rank Energy Statistics via Optimal Transport: Continuity,
  Convergence, and Change Point Detection
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point DetectionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Matthew Werenski
Shoaib Bin Masud
James M. Murphy
Shuchin Aeron
219
5
0
15 Feb 2023
Linearized Wasserstein dimensionality reduction with approximation
  guarantees
Linearized Wasserstein dimensionality reduction with approximation guaranteesApplied and Computational Harmonic Analysis (ACHA), 2023
A. Cloninger
Keaton Hamm
Varun Khurana
Caroline Moosmüller
206
17
0
14 Feb 2023
Fast Computation of Optimal Transport via Entropy-Regularized
  Extragradient Methods
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient MethodsSIAM Journal on Optimization (SIOPT), 2023
Gen Li
Yanxi Chen
Yu Huang
Yuejie Chi
H. Vincent Poor
Yuxin Chen
OT
216
5
0
30 Jan 2023
Decentralized Entropic Optimal Transport for Privacy-preserving
  Distributed Distribution Comparison
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison
Xiangfeng Wang
Hongteng Xu
Moyi Yang
OT
300
2
0
28 Jan 2023
On Excess Mass Behavior in Gaussian Mixture Models with
  Orlicz-Wasserstein Distances
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein DistancesInternational Conference on Machine Learning (ICML), 2023
Aritra Guha
N. Ho
X. Nguyen
174
6
0
27 Jan 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Improved Rate of First Order Algorithms for Entropic Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yiling Luo
Yiling Xie
X. Huo
167
11
0
23 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Markovian Sliced Wasserstein Distances: Beyond Independent ProjectionsNeural Information Processing Systems (NeurIPS), 2023
Khai Nguyen
Zhaolin Ren
Nhat Ho
OTGAN
319
9
0
10 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling
  Operations
Regularized Optimal Transport Layers for Generalized Global Pooling OperationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hongteng Xu
Minjie Cheng
282
5
0
13 Dec 2022
Hierarchical Policy Blending As Optimal Transport
Hierarchical Policy Blending As Optimal TransportConference on Learning for Dynamics & Control (L4DC), 2022
An T. Le
Kay Hansel
Jan Peters
Georgia Chalvatzaki
OT
355
11
0
04 Dec 2022
A Bi-level Nonlinear Eigenvector Algorithm for Wasserstein Discriminant
  Analysis
A Bi-level Nonlinear Eigenvector Algorithm for Wasserstein Discriminant Analysis
Dong Min Roh
Z. Bai
Ren-Cang Li
84
1
0
21 Nov 2022
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Mirror Sinkhorn: Fast Online Optimization on Transport PolytopesInternational Conference on Machine Learning (ICML), 2022
Marin Ballu
Quentin Berthet
353
8
0
18 Nov 2022
Solving a Special Type of Optimal Transport Problem by a Modified
  Hungarian Algorithm
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
Yiling Xie
Yiling Luo
X. Huo
OT
303
5
0
29 Oct 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
David Alvarez-Melis
Nicolò Fusi
Lester W. Mackey
Tal Wagner
OT
216
1
0
24 Oct 2022
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal
  Transport
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal TransportMachine-mediated learning (ML), 2022
Mourad El Hamri
Younès Bennani
Issam Falih
106
2
0
24 Oct 2022
Fast Approximation of the Generalized Sliced-Wasserstein Distance
Fast Approximation of the Generalized Sliced-Wasserstein DistanceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Dung D. Le
Huy Nguyen
Khai Nguyen
Trang Nguyen
Nhat Ho
119
1
0
19 Oct 2022
On the potential benefits of entropic regularization for smoothing
  Wasserstein estimators
On the potential benefits of entropic regularization for smoothing Wasserstein estimatorsElectronic Journal of Statistics (EJS), 2022
Jérémie Bigot
Paul Freulon
B. Hejblum
Arthur Leclaire
OT
295
2
0
13 Oct 2022
Gaussian Processes on Distributions based on Regularized Optimal
  Transport
Gaussian Processes on Distributions based on Regularized Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
GPOT
151
9
0
12 Oct 2022
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