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Fast and Smooth Interpolation on Wasserstein Space
22 October 2020
Sinho Chewi
Julien Clancy
Thibaut Le Gouic
Philippe Rigollet
George Stepaniants
Austin J. Stromme
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Papers citing
"Fast and Smooth Interpolation on Wasserstein Space"
8 / 8 papers shown
Title
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu
Edward Chien
Kristjan Greenewald
60
7
0
11 Jun 2024
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
Amartya Banerjee
Harlin Lee
Nir Sharon
Caroline Moosmüller
58
1
0
30 May 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
57
7
0
05 Dec 2023
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
Sinho Chewi
Thibaut Le Gouic
Chen Lu
Tyler Maunu
Philippe Rigollet
70
69
0
03 Jun 2020
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
172
1,628
0
28 Dec 2018
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
138
2,133
0
01 Mar 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
56
587
0
26 May 2017
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
133
4,210
0
04 Jun 2013
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