Principal Differences Analysis: Interpretable Characterization of Differences between Distributions

30 October 2015

Papers citing "Principal Differences Analysis: Interpretable Characterization of Differences between Distributions"

8 / 8 papers shown

Title
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 121 9 0 24 Jun 2022
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 84 20 0 12 Feb 2021
Two-sample Test using Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 107 21 0 22 Oct 2020
$Sequential Change Detection by Optimal Weighted $\ell_2$ Divergence$ Sequential Change Detection by Optimal Weighted $\ell_2$ Divergence Liyan Xie Yao Xie 61 14 0 21 Oct 2020
Entropic optimal transport is maximum-likelihood deconvolution Philippe Rigollet Jonathan Niles-Weed OT 87 78 0 14 Sep 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 93 596 0 26 May 2017
Wasserstein Discriminant Analysis Rémi Flamary Marco Cuturi Nicolas Courty A. Rakotomamonjy 147 104 0 29 Aug 2016
Interpretable Distribution Features with Maximum Testing Power Wittawat Jitkrittum Z. Szabó Kacper P. Chwialkowski Arthur Gretton 101 136 0 22 May 2016