Liouville PDE-based sliced-Wasserstein flow for fair regression

22 May 2025

Papers citing "Liouville PDE-based sliced-Wasserstein flow for fair regression"

20 / 20 papers shown

Title
Estimating Barycenters of Distributions with Neural Optimal Transport Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Evgeny Burnaev Alexander Korotin OT 49 6 0 06 Feb 2024
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 127 16 0 03 Nov 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 160 17 0 26 Oct 2023
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 51 29 0 29 Dec 2022
Probability flow solution of the Fokker-Planck equation Nicholas M. Boffi Eric Vanden-Eijnden 44 43 0 09 Jun 2022
Self-Consistency of the Fokker-Planck Equation Zebang Shen Zhenfu Wang Satyen Kale Alejandro Ribeiro Aim Karbasi Hamed Hassani 36 18 0 02 Jun 2022
A minimax framework for quantifying risk-fairness trade-off in regression Evgenii Chzhen Nicolas Schreuder FaML 54 33 0 28 Jul 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 56 106 0 12 Jun 2020
Fairness Measures for Regression via Probabilistic Classification D. Steinberg Alistair Reid S. O'Callaghan FaML 27 14 0 16 Jan 2020
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 56 176 0 28 Jul 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 44 246 0 30 May 2019
Fair Regression for Health Care Spending A. Zink Sherri Rose 57 50 0 28 Jan 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 94 861 0 02 Oct 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 75 122 0 21 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 281 5,024 0 19 Jun 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 44 223 0 29 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 166 1,094 0 06 Mar 2018
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 102 342 0 07 Jun 2017
Sliced Wasserstein Kernels for Probability Distributions Soheil Kolouri Yang Zou Gustavo K. Rohde 37 159 0 10 Nov 2015
Fast Computation of Wasserstein Barycenters Marco Cuturi Arnaud Doucet OT 83 735 0 16 Oct 2013