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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"
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Title
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
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29 Sep 2022
Using the Sinkhorn divergence in permutation tests for the multivariate two-sample problem
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28 Sep 2022
GeONet: a neural operator for learning the Wasserstein geodesic
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28 Sep 2022
Hierarchical Sliced Wasserstein Distance
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Zhaolin Ren
Huy Nguyen
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Nhat Ho
253
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27 Sep 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
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D. Kim
B. Song
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168
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25 Sep 2022
A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment
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Hu Ding
Wenjie Liu
Mingquan Ye
161
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07 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold Learning
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Rumen Dangovski
M. Soljavcić
206
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Wasserstein Task Embedding for Measuring Task Similarities
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Yikun Bai
Yuzhe Lu
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200
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24 Aug 2022
Limit Theorems for Entropic Optimal Transport Maps and the Sinkhorn Divergence
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Kengo Kato
Gabriel Rioux
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217
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18 Jul 2022
Multi-Agent Shape Control with Optimal Transport
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Stanley J. Osher
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124
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30 Jun 2022
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Austin J. Stromme
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182
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Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
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Boris Landa
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Asymptotics of smoothed Wasserstein distances in the small noise regime
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Yunzi Ding
Jonathan Niles-Weed
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136
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Meta Optimal Transport
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Samuel N. Cohen
Giulia Luise
I. Redko
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287
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Multi-scale Wasserstein Shortest-path Graph Kernels for Graph Classification
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Hao Tian
Qi Chen
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Distributional Convergence of the Sliced Wasserstein Process
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Hilbert Curve Projection Distance for Distribution Comparison
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Cheng Meng
Hongteng Xu
Jun Yu
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Hiroyuki Kasai
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219
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Mengyu Li
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188
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Trajectory Inference via Mean-field Langevin in Path Space
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Lénaïc Chizat
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348
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Statistical inference with regularized optimal transport
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Kengo Kato
Gabriel Rioux
Ritwik Sadhu
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179
40
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Immiscible Color Flows in Optimal Transport Networks for Image Classification
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Alessandro Lonardi
Diego Baptista
Caterina De Bacco
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90
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Kun Hu
Rui Yan
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Junbin Gao
Zhiyong Wang
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166
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Hierarchical Optimal Transport for Comparing Histopathology Datasets
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A. Yeaton
Rahul G. Krishnan
Rebecca J. Mieloszyk
David Alvarez-Melis
G. Huynh
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162
10
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18 Apr 2022
Categorical Distributions of Maximum Entropy under Marginal Constraints
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Holly Chung
64
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Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
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Felix Ott
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226
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Xi Xiao
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179
39
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A Push-Relabel Based Additive Approximation for Optimal Transport
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S. Raghvendra
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86
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Discrete Optimal Transport with Independent Marginals is #P-Hard
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201
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237
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263
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135
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203
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