Attainability and Optimality: The Equalized Odds Fairness Revisited

24 February 2022

Papers citing "Attainability and Optimality: The Equalized Odds Fairness Revisited"

8 / 8 papers shown

Title
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 44 0 0 27 Mar 2025
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 66 3 0 10 Jun 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 43 3 0 12 May 2024
Using Property Elicitation to Understand the Impacts of Fairness Regularizers Jessie Finocchiaro FaML 32 0 0 20 Sep 2023
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 33 26 0 08 Jun 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 489 0 31 Dec 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016