A Distributionally Robust Approach to Fair Classification

18 July 2020

Papers citing "A Distributionally Robust Approach to Fair Classification"

8 / 8 papers shown

Title
Wasserstein Distributionally Robust Regret Optimization Lukas-Benedikt Fiechtner Jose Blanchet 27 0 0 15 Apr 2025
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 23 2 0 20 Dec 2023
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 40 35 0 24 Sep 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 40 19 0 17 Jun 2021
Fair Mixup: Fairness via Interpolation Ching-Yao Chuang Youssef Mroueh 21 137 0 11 Mar 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016