Measuring association with Wasserstein distances

v1v2v3 (latest)

Measuring association with Wasserstein distances

31 January 2021

ArXiv (abs)PDF HTML

Papers citing "Measuring association with Wasserstein distances"

11 / 11 papers shown

Title
Neural Conditional Transport Maps Carlos Rodriguez-Pardo Leonardo Chiani Emanuele Borgonovo Massimo Tavoni OT 88 0 0 21 May 2025
Invariant Representations via Wasserstein Correlation Maximization Keenan Eikenberry Lizuo Liu Yoonsang Lee OOD 76 0 0 16 May 2025
Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation Junkai Zhao Wei Xie Jun Luo 124 0 0 20 Nov 2024
Shift-Dispersion Decompositions of Wasserstein and Cramér Distances Johannes Resin Daniel Wolffram Johannes Bracher Timo Dimitriadis 56 2 0 19 Aug 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection Hongyu Shen Yici Yan Zhizhen Zhao 83 0 0 27 Feb 2024
Dependence properties of bivariate copula families Jonathan Ansari Marcus Rockel 70 5 0 26 Oct 2023
Quantifying and estimating dependence via sensitivity of conditional distributions Jonathan Ansari P. Langthaler Sebastian Fuchs W. Trutschnig 82 8 0 11 Aug 2023
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm Yiling Xie Yiling Luo X. Huo OT 93 5 0 29 Oct 2022
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem Yiling Xie Yiling Luo X. Huo 104 11 0 02 Mar 2022
Entropy Regularized Optimal Transport Independence Criterion Lang Liu Soumik Pal Zaïd Harchaoui OT 77 14 0 31 Dec 2021
Transport Dependency: Optimal Transport Based Dependency Measures T. Nies Thomas Staudt Axel Munk OT 92 20 0 05 May 2021