A statistical framework for fair predictive algorithms

25 October 2016

Papers citing "A statistical framework for fair predictive algorithms"

8 / 8 papers shown

Title
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Y. Zou Linjun Zhang FaML 82 4 0 13 Mar 2025
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 24 8 0 07 Jun 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Edgar Dobriban Guang Cheng FaML 19 22 0 20 Feb 2022
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 35 47 0 28 Sep 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 28 49 0 14 Jul 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 38 17 0 07 Jun 2021
Leveraging Semi-Supervised Learning for Fairness using Neural Networks Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 8 7 0 31 Dec 2019
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 6 1,362 0 22 Jan 2018