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

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

26 May 2017
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
    OT
ArXivPDFHTML

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

50 / 112 papers shown
Title
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Tal Amir
Nadav Dym
61
2
0
03 Apr 2025
Nested Stochastic Gradient Descent for (Generalized) Sinkhorn Distance-Regularized Distributionally Robust Optimization
Nested Stochastic Gradient Descent for (Generalized) Sinkhorn Distance-Regularized Distributionally Robust Optimization
Yue Yang
Yi Zhou
Zhaosong Lu
51
0
0
29 Mar 2025
A Survey on Algorithmic Developments in Optimal Transport Problem with Applications
A Survey on Algorithmic Developments in Optimal Transport Problem with Applications
Sina Moradi
OT
57
0
0
08 Jan 2025
Wasserstein Flow Matching: Generative modeling over families of distributions
Wasserstein Flow Matching: Generative modeling over families of distributions
Doron Haviv
Aram-Alexandre Pooladian
D. Pe’er
Brandon Amos
OOD
47
0
0
01 Nov 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang
Yunhao Zhang
Ziao Guo
Tianyi Chen
Xiaokang Yang
Junchi Yan
34
16
0
18 Jul 2024
PTaRL: Prototype-based Tabular Representation Learning via Space
  Calibration
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye
Wei Fan
Xiaozhuang Song
Shun Zheng
He Zhao
Dandan Guo
Yi Chang
OOD
55
19
0
07 Jul 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot
  Cross-Lingual Natural Language Understanding
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
Dongyang Li
Taolin Zhang
Jiali Deng
Longtao Huang
Chengyu Wang
Xiaofeng He
Hui Xue
36
1
0
24 Jun 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu
Edward Chien
Kristjan Greenewald
48
7
0
11 Jun 2024
Statistical inference of convex order by Wasserstein projection
Statistical inference of convex order by Wasserstein projection
Jakwang Kim
Young-Heon Kim
Yuanlong Ruan
Andrew Warren
44
2
0
05 Jun 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang
M. Boedihardjo
Yao Xie
59
1
0
24 May 2024
Decentralized and Equitable Optimal Transport
Decentralized and Equitable Optimal Transport
Ivan Lau
Shiqian Ma
César A. Uribe
OT
35
0
0
07 Mar 2024
An inexact Bregman proximal point method and its acceleration version
  for unbalanced optimal transport
An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport
Xiang Chen
Faqiang Wang
Jun Liu
Lipeng Cui
OT
22
0
0
26 Feb 2024
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport
Chakib Fettal
Lazhar Labiod
M. Nadif
OT
21
1
0
07 Feb 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Xun Tang
Michael Shavlovsky
Holakou Rahmanian
Elisa Tardini
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
OT
41
4
0
20 Jan 2024
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
58
3
0
17 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal
  Interpretability
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
Yanran Wang
Qiuchen Qian
David E. Boyle
21
4
0
13 Jul 2023
Fitted Value Iteration Methods for Bicausal Optimal Transport
Fitted Value Iteration Methods for Bicausal Optimal Transport
Erhan Bayraktar
Bingyan Han
OT
37
6
0
22 Jun 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 Models
Z. Y. Wan
Ricardo Baptista
Yi-fan Chen
John R. Anderson
Anudhyan Boral
Fei Sha
Leonardo Zepeda-Núñez
DiffM
52
24
0
24 May 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
43
0
0
30 Mar 2023
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value Imputation
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
43
19
0
20 Feb 2023
Fast Computation of Optimal Transport via Entropy-Regularized
  Extragradient Methods
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods
Gen Li
Yanxi Chen
Yu Huang
Yuejie Chi
H. Vincent Poor
Yuxin Chen
OT
51
5
0
30 Jan 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Yiling Luo
Yiling Xie
X. Huo
32
8
0
23 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling
  Operations
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
Hongteng Xu
Minjie Cheng
43
4
0
13 Dec 2022
Hierarchical Policy Blending As Optimal Transport
Hierarchical Policy Blending As Optimal Transport
An T. Le
Kay Hansel
Jan Peters
Georgia Chalvatzaki
OT
40
7
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
18
1
0
21 Nov 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
35
1
0
24 Oct 2022
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal
  Transport
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport
Mourad El Hamri
Younès Bennani
Issam Falih
22
1
0
24 Oct 2022
Gaussian Processes on Distributions based on Regularized Optimal
  Transport
Gaussian Processes on Distributions based on Regularized Optimal Transport
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
GP
OT
34
7
0
12 Oct 2022
Using the Sinkhorn divergence in permutation tests for the multivariate
  two-sample problem
Using the Sinkhorn divergence in permutation tests for the multivariate two-sample problem
E. del Barrio
J. S. Osorio
A. Quiroz
21
0
0
28 Sep 2022
Hierarchical Sliced Wasserstein Distance
Hierarchical Sliced Wasserstein Distance
Khai Nguyen
Tongzheng Ren
Huy Nguyen
Litu Rout
T. Nguyen
Nhat Ho
38
20
0
27 Sep 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial
  Expression Recognition
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
D. Kim
B. Song
OT
45
10
0
25 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold
  Learning
Discovering Conservation Laws using Optimal Transport and Manifold Learning
Peter Y. Lu
Rumen Dangovski
M. Soljavcić
31
17
0
31 Aug 2022
Wasserstein Task Embedding for Measuring Task Similarities
Wasserstein Task Embedding for Measuring Task Similarities
Xinran Liu
Yikun Bai
Yuzhe Lu
Andrea Soltoggio
Soheil Kolouri
OT
22
22
0
24 Aug 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn
  Divergence
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
52
27
0
18 Jul 2022
Multi-Agent Shape Control with Optimal Transport
Multi-Agent Shape Control with Optimal Transport
A. Lin
Stanley J. Osher
OT
17
0
0
30 Jun 2022
Bi-stochastically normalized graph Laplacian: convergence to manifold
  Laplacian and robustness to outlier noise
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
Xiuyuan Cheng
Boris Landa
38
3
0
22 Jun 2022
Meta Optimal Transport
Meta Optimal Transport
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
45
22
0
10 Jun 2022
Hilbert Curve Projection Distance for Distribution Comparison
Hilbert Curve Projection Distance for Distribution Comparison
Tao Li
Cheng Meng
Hongteng Xu
Jun Yu
46
13
0
30 May 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance
  Sparsification
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
Mengyu Li
Jun Yu
Hongteng Xu
Cheng Meng
31
14
0
26 May 2022
Trajectory Inference via Mean-field Langevin in Path Space
Trajectory Inference via Mean-field Langevin in Path Space
Lénaïc Chizat
Stephen X. Zhang
Matthieu Heitz
Geoffrey Schiebinger
39
22
0
14 May 2022
Statistical inference with regularized optimal transport
Statistical inference with regularized optimal transport
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
OT
49
34
0
09 May 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets
Hierarchical Optimal Transport for Comparing Histopathology Datasets
A. Yeaton
Rahul G. Krishnan
Rebecca J. Mieloszyk
David Alvarez-Melis
G. Huynh
OT
25
9
0
18 Apr 2022
Categorical Distributions of Maximum Entropy under Marginal Constraints
Categorical Distributions of Maximum Entropy under Marginal Constraints
Orestis Loukas
Holly Chung
14
5
0
07 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
TTA
AI4TS
38
31
0
07 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to
  Convolution
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Khai Nguyen
Nhat Ho
30
25
0
04 Apr 2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal
  Transport
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Jiying Zhang
Xi Xiao
Long-Kai Huang
Yu Rong
Yatao Bian
OT
32
32
0
20 Mar 2022
An Accelerated Stochastic Algorithm for Solving the Optimal Transport
  Problem
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem
Yiling Xie
Yiling Luo
X. Huo
31
10
0
02 Mar 2022
Empirical Optimal Transport between Different Measures Adapts to Lower
  Complexity
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
46
22
0
21 Feb 2022
An algorithmic solution to the Blotto game using multi-marginal
  couplings
An algorithmic solution to the Blotto game using multi-marginal couplings
Vianney Perchet
Philippe Rigollet
Thibaut Le Gouic
32
8
0
15 Feb 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Luc Brogat-Motte
Rémi Flamary
Céline Brouard
Juho Rousu
Florence dÁlché-Buc
38
19
0
08 Feb 2022
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