Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions

27 January 2023

Papers citing "Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions"

10 / 10 papers shown

Title
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection Jiaee Cheong Aditya Bangar Sinan Kalkan Hatice Gunes 84 1 0 17 Jan 2025
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness Lucas Rosenblatt R. T. Witter FaML 20 0 0 02 Oct 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Naresh Boddeti 29 4 0 05 Aug 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta 37 2 0 07 Jun 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 21 3 0 12 May 2024
Achievable Fairness on Your Data With Utility Guarantees Muhammad Faaiz Taufiq Jean-François Ton Yang Liu 14 1 0 27 Feb 2024
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 25 6 0 21 Jul 2023
Multicalibrated Regression for Downstream Fairness Ira Globus-Harris Varun Gupta Christopher Jung Michael Kearns Jamie Morgenstern Aaron Roth FaML 45 11 0 15 Sep 2022
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 49 33 0 21 Sep 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016