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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
Title
Adaptive Distribution Calibration for Few-Shot Learning with
  Hierarchical Optimal Transport
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal TransportNeural Information Processing Systems (NeurIPS), 2022
D. Guo
Longlong Tian
He Zhao
Mingyuan Zhou
H. Zha
OODD
164
29
0
09 Oct 2022
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph
  Neural Networks
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Ching-Yao Chuang
Stefanie Jegelka
OOD
180
43
0
04 Oct 2022
Improving Generative Flow Networks with Path Regularization
Improving Generative Flow Networks with Path Regularization
A. Do
Duy-Tung Dinh
T. Nguyen
Khuong N. Nguyen
Stanley Osher
Nhat Ho
AI4CE
147
4
0
29 Sep 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
91
0
0
28 Sep 2022
GeONet: a neural operator for learning the Wasserstein geodesic
GeONet: a neural operator for learning the Wasserstein geodesicConference on Uncertainty in Artificial Intelligence (UAI), 2022
Andrew Gracyk
Xiaohui Chen
OT
368
2
0
28 Sep 2022
Hierarchical Sliced Wasserstein Distance
Hierarchical Sliced Wasserstein DistanceInternational Conference on Learning Representations (ICLR), 2022
Khai Nguyen
Zhaolin Ren
Huy Nguyen
Litu Rout
T. Nguyen
Nhat Ho
253
27
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 RecognitionNeural Information Processing Systems (NeurIPS), 2022
D. Kim
B. Song
OT
168
16
0
25 Sep 2022
A Data-dependent Approach for High Dimensional (Robust) Wasserstein
  Alignment
A Data-dependent Approach for High Dimensional (Robust) Wasserstein AlignmentACM Journal of Experimental Algorithmics (JEA), 2022
Hu Ding
Wenjie Liu
Mingquan Ye
161
2
0
07 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold
  Learning
Discovering Conservation Laws using Optimal Transport and Manifold LearningNature Communications (Nat Commun), 2022
Peter Y. Lu
Rumen Dangovski
M. Soljavcić
206
23
0
31 Aug 2022
Wasserstein Task Embedding for Measuring Task Similarities
Wasserstein Task Embedding for Measuring Task SimilaritiesNeural Networks (NN), 2022
Hengrong Du
Yikun Bai
Yuzhe Lu
Andrea Soltoggio
Soheil Kolouri
OT
200
37
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
217
31
0
18 Jul 2022
Multi-Agent Shape Control with Optimal Transport
Multi-Agent Shape Control with Optimal Transport
A. Lin
Stanley J. Osher
OT
124
1
0
30 Jun 2022
On the sample complexity of entropic optimal transport
On the sample complexity of entropic optimal transportAnnals of Statistics (Ann. Stat.), 2022
Philippe Rigollet
Austin J. Stromme
OT
182
50
0
27 Jun 2022
On a class of geodesically convex optimization problems solved via
  Euclidean MM methods
On a class of geodesically convex optimization problems solved via Euclidean MM methods
Melanie Weber
S. Sra
197
4
0
22 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 noiseInformation and Inference A Journal of the IMA (JIII), 2022
Xiuyuan Cheng
Boris Landa
315
6
0
22 Jun 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime
Asymptotics of smoothed Wasserstein distances in the small noise regimeNeural Information Processing Systems (NeurIPS), 2022
Yunzi Ding
Jonathan Niles-Weed
OT
136
2
0
13 Jun 2022
Meta Optimal Transport
Meta Optimal TransportInternational Conference on Machine Learning (ICML), 2022
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
287
27
0
10 Jun 2022
Multi-scale Wasserstein Shortest-path Graph Kernels for Graph
  Classification
Multi-scale Wasserstein Shortest-path Graph Kernels for Graph ClassificationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Wei Ye
Hao Tian
Qi Chen
379
6
0
02 Jun 2022
Distributional Convergence of the Sliced Wasserstein Process
Distributional Convergence of the Sliced Wasserstein ProcessNeural Information Processing Systems (NeurIPS), 2022
Jiaqi Xi
Jonathan Niles-Weed
129
8
0
01 Jun 2022
Hilbert Curve Projection Distance for Distribution Comparison
Hilbert Curve Projection Distance for Distribution ComparisonIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Tao Li
Cheng Meng
Hongteng Xu
Jun Yu
340
16
0
30 May 2022
On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and
  OT Distance Gaps
On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps
Takumi Fukunaga
Hiroyuki Kasai
OT
219
2
0
27 May 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance
  Sparsification
Efficient Approximation of Gromov-Wasserstein Distance Using Importance SparsificationJournal of Computational And Graphical Statistics (JCGS), 2022
Mengyu Li
Jun Yu
Hongteng Xu
Cheng Meng
188
20
0
26 May 2022
Trajectory Inference via Mean-field Langevin in Path Space
Trajectory Inference via Mean-field Langevin in Path SpaceNeural Information Processing Systems (NeurIPS), 2022
Lénaïc Chizat
Stephen X. Zhang
Matthieu Heitz
Geoffrey Schiebinger
348
32
0
14 May 2022
Statistical inference with regularized optimal transport
Statistical inference with regularized optimal transportInformation and Inference A Journal of the IMA (JIII), 2022
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
OT
179
40
0
09 May 2022
Immiscible Color Flows in Optimal Transport Networks for Image
  Classification
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationFrontiers of Physics (Front. Phys.), 2022
Alessandro Lonardi
Diego Baptista
Caterina De Bacco
OT
90
3
0
04 May 2022
OTExtSum: Extractive Text Summarisation with Optimal Transport
OTExtSum: Extractive Text Summarisation with Optimal Transport
Peggy Tang
Kun Hu
Rui Yan
Lei Zhang
Junbin Gao
Zhiyong Wang
OT
166
12
0
21 Apr 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets
Hierarchical Optimal Transport for Comparing Histopathology DatasetsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
A. Yeaton
Rahul G. Krishnan
Rebecca J. Mieloszyk
David Alvarez-Melis
G. Huynh
OT
162
10
0
18 Apr 2022
Categorical Distributions of Maximum Entropy under Marginal Constraints
Categorical Distributions of Maximum Entropy under Marginal Constraints
Orestis Loukas
Holly Chung
64
5
0
07 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate ShiftACM Multimedia (ACM MM), 2022
Felix Ott
David Rügamer
Lucas Heublein
B. Bischl
Christopher Mutschler
OODTTAAI4TS
194
42
0
07 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to
  Convolution
Revisiting Sliced Wasserstein on Images: From Vectorization to ConvolutionNeural Information Processing Systems (NeurIPS), 2022
Khai Nguyen
Nhat Ho
OTGAN
226
27
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 TransportInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Jiying Zhang
Xi Xiao
Long-Kai Huang
Yu Rong
Yatao Bian
OT
179
39
0
20 Mar 2022
A Push-Relabel Based Additive Approximation for Optimal Transport
A Push-Relabel Based Additive Approximation for Optimal Transport
Nathaniel Lahn
S. Raghvendra
Kaiyi Zhang
OT
86
1
0
07 Mar 2022
Discrete Optimal Transport with Independent Marginals is #P-Hard
Discrete Optimal Transport with Independent Marginals is #P-HardSIAM Journal on Optimization (SIAM J. Optim.), 2022
Bahar Taşkesen
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
K. Natarajan
OT
201
6
0
02 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
237
11
0
02 Mar 2022
Empirical Optimal Transport between Different Measures Adapts to Lower
  Complexity
Empirical Optimal Transport between Different Measures Adapts to Lower ComplexityAnnales De L Institut Henri Poincare-probabilites Et Statistiques (Ann. Inst. Henri Poincaré Probab. Stat.), 2022
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
177
29
0
21 Feb 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
Debiaser Beware: Pitfalls of Centering Regularized Transport MapsInternational Conference on Machine Learning (ICML), 2022
Aram-Alexandre Pooladian
Marco Cuturi
Jonathan Niles-Weed
OT
263
19
0
17 Feb 2022
An algorithmic solution to the Blotto game using multi-marginal
  couplings
An algorithmic solution to the Blotto game using multi-marginal couplingsACM Conference on Economics and Computation (EC), 2022
Vianney Perchet
Philippe Rigollet
Thibaut Le Gouic
135
9
0
15 Feb 2022
Understanding DDPM Latent Codes Through Optimal Transport
Understanding DDPM Latent Codes Through Optimal TransportInternational Conference on Learning Representations (ICLR), 2022
Valentin Khrulkov
Gleb Ryzhakov
Andrei Chertkov
Ivan Oseledets
OTDiffM
203
58
0
14 Feb 2022
Online Learning to Transport via the Minimal Selection Principle
Online Learning to Transport via the Minimal Selection PrincipleAnnual Conference Computational Learning Theory (COLT), 2022
Wenxuan Guo
Y. Hur
Tengyuan Liang
Christopher Ryan
148
6
0
09 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial
  Training to Composite Semantic Perturbations
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic PerturbationsComputer Vision and Pattern Recognition (CVPR), 2022
Lei Hsiung
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
AAML
165
42
0
09 Feb 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Learning to Predict Graphs with Fused Gromov-Wasserstein BarycentersInternational Conference on Machine Learning (ICML), 2022
Luc Brogat-Motte
Rémi Flamary
Céline Brouard
Juho Rousu
Florence dÁlché-Buc
215
25
0
08 Feb 2022
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and
  Approximation Error
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation ErrorJournal of machine learning research (JMLR), 2022
Quang Minh Nguyen
Hoang H. Nguyen
Yi Zhou
Lam M. Nguyen
OT
187
15
0
08 Feb 2022
Approximate Policy Iteration with Bisimulation Metrics
Approximate Policy Iteration with Bisimulation Metrics
Mete Kemertas
Allan D. Jepson
231
12
0
06 Feb 2022
Distributional Reinforcement Learning by Sinkhorn Divergence
Distributional Reinforcement Learning by Sinkhorn DivergenceNeural Information Processing Systems (NeurIPS), 2022
Ke Sun
Yingnan Zhao
Wulong Liu
Bei Jiang
Linglong Kong
397
0
0
01 Feb 2022
GLAN: A Graph-based Linear Assignment Network
GLAN: A Graph-based Linear Assignment NetworkPattern Recognition (Pattern Recogn.), 2022
He Liu
Tao Wang
Congyan Lang
Songhe Feng
Yi Jin
Yidong Li
158
8
0
05 Jan 2022
Bayesian nonparametric model based clustering with intractable
  distributions: an ABC approach
Bayesian nonparametric model based clustering with intractable distributions: an ABC approach
Mario Beraha
R. Corradin
159
1
0
20 Dec 2021
A Homotopy Algorithm for Optimal Transport
A Homotopy Algorithm for Optimal Transport
Roozbeh Yousefzadeh
OT
58
0
0
13 Dec 2021
Bounding Wasserstein distance with couplings
Bounding Wasserstein distance with couplingsJournal of the American Statistical Association (JASA), 2021
N. Biswas
Lester W. Mackey
298
8
0
06 Dec 2021
Hierarchical Optimal Transport for Unsupervised Domain Adaptation
Hierarchical Optimal Transport for Unsupervised Domain AdaptationMachine-mediated learning (ML), 2021
Mourad El Hamri
Younès Bennani
Issam Falih
Hamid Ahaggach
OT
143
24
0
03 Dec 2021
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal
  Transport
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport
Vladimir Kostic
Saverio Salzo
Massimilano Pontil
OT
149
0
0
01 Dec 2021
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