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1705.09634
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Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
26 May 2017
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
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Papers citing
"Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration"
50 / 306 papers shown
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Screening Sinkhorn Algorithm for Regularized Optimal Transport
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Maxime Bérar
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222
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20 Jun 2019
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms
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Hongteng Xu
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116
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13 Jun 2019
On a Combination of Alternating Minimization and Nesterov's Momentum
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Pavel Dvurechensky
N. Tupitsa
Alexander Gasnikov
ODL
522
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09 Jun 2019
Wasserstein Weisfeiler-Lehman Graph Kernels
Neural Information Processing Systems (NeurIPS), 2019
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M. Ghisu
Felipe Llinares-López
Bastian Rieck
Karsten Borgwardt
327
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04 Jun 2019
A Direct
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1
/
ε
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\tilde{O}(1/ε)
O
~
(
1/
ε
)
Iteration Parallel Algorithm for Optimal Transport
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Aaron Sidford
Kevin Tian
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192
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03 Jun 2019
A scalable optimal-transport based local particle filter
Matthew M. Graham
Alexandre Hoang Thiery
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189
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03 Jun 2019
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
Neural Information Processing Systems (NeurIPS), 2019
Dongdong Ge
Haoyue Wang
Zikai Xiong
Yinyu Ye
192
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30 May 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
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Gonzalo E. Mena
Jonathan Niles-Weed
OT
303
189
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28 May 2019
A Graph Theoretic Additive Approximation of Optimal Transport
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Nathaniel Lahn
Deepika Mulchandani
S. Raghvendra
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180
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28 May 2019
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
International Conference on Machine Learning (ICML), 2019
Insu Han
H. Avron
Jinwoo Shin
152
12
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28 May 2019
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter
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Nhat Ho
Sai Li
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234
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23 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
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Hongteng Xu
Dixin Luo
Lawrence Carin
502
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18 May 2019
Minimax estimation of smooth optimal transport maps
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Philippe Rigollet
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293
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Wasserstein-Fisher-Rao Document Distance
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Datong P. Zhou
Yong Zhang
Hao Wu
Chenglong Bao
137
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23 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise
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B. Bushan
Sylvain Lobry
Rémi Flamary
D. Tuia
Nicolas Courty
266
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08 Apr 2019
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
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Ashkan Panahi
M. Chehreghani
Devdatt Dubhashi
Hamid Krim
330
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09 Mar 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong
Frank R. Schmidt
J. Zico Kolter
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268
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21 Feb 2019
Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification
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83
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14 Feb 2019
Minimax estimation of smooth densities in Wasserstein distance
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Quentin Berthet
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252
48
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05 Feb 2019
Tree-Sliced Variants of Wasserstein Distances
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Tam Le
M. Yamada
Kenji Fukumizu
Marco Cuturi
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375
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01 Feb 2019
Approximation of Wasserstein distance with Transshipment
Nicolas Papadakis
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409
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27 Jan 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
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Dixin Luo
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Lawrence Carin
414
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17 Jan 2019
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
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Jérémie Bigot
401
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21 Dec 2018
Massively scalable Sinkhorn distances via the Nyström method
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Francis R. Bach
Alessandro Rudi
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282
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12 Dec 2018
Low-Complexity Data-Parallel Earth Mover's Distance Approximations
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T. Mittelholzer
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Deep Geometric Prior for Surface Reconstruction
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T. Schneider
Claudio Silva
Denis Zorin
Joan Bruna
Daniele Panozzo
3DPC
309
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Unsupervised Hyperalignment for Multilingual Word Embeddings
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Edouard Grave
Marco Cuturi
Armand Joulin
317
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02 Nov 2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
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Ruitong Huang
R. McCann
101
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31 Oct 2018
Word Mover's Embedding: From Word2Vec to Document Embedding
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Ian En-Hsu Yen
Kun Xu
Fangli Xu
Avinash Balakrishnan
Pin-Yu Chen
Pradeep Ravikumar
Michael Witbrock
228
113
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30 Oct 2018
Empirical Regularized Optimal Transport: Statistical Theory and Applications
M. Klatt
Carla Tameling
Axel Munk
OT
278
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23 Oct 2018
Sinkhorn AutoEncoders
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Rianne van den Berg
Patrick Forré
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Samarth Bhargav
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Tim Genewein
Frank Nielsen
DiffM
297
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02 Oct 2018
Entropic optimal transport is maximum-likelihood deconvolution
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261
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14 Sep 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
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220
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Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations
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394
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29 Aug 2018
Uncoupled isotonic regression via minimum Wasserstein deconvolution
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190
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Towards Optimal Transport with Global Invariances
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198
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Statistical Optimal Transport via Factored Couplings
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Jan-Christian Hütter
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321
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Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendible geodesics
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Thibaut Le Gouic
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327
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An explicit analysis of the entropic penalty in linear programming
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354
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Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise
Alessandro Rudi
Massimiliano Pontil
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275
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Unsupervised Alignment of Embeddings with Wasserstein Procrustes
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Armand Joulin
Quentin Berthet
339
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Optimal Transport for structured data with application on graphs
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Laetitia Chapel
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R. Tavenard
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283
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Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
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S. Oudot
274
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Computing Kantorovich-Wasserstein Distances on
d
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-partite graphs
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243
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On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows
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Greedy stochastic algorithms for entropy-regularized optimal transport problems
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On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
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Meisam Razaviyayn
Jason D. Lee
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254
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Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
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258
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