Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

3 May 2024

Papers citing "Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks"

9 / 9 papers shown

Title
Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh V. Chawla FaML 68 0 0 01 May 2025
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction Siqi Li Qiming Wu Xin Li Di Miao Chuan Hong ... Michael Hao Chen Mengying Yan Yilin Ning M. Ong Nan Liu 33 1 0 07 Oct 2024
Automatically Adaptive Conformal Risk Control Vincent Blot Anastasios Nikolas Angelopoulos Michael I Jordan Nicolas Brunel AI4CE 44 2 0 25 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 43 4 0 10 Jun 2024
Localized Adaptive Risk Control Matteo Zecchin Osvaldo Simeone 40 7 0 13 May 2024
An Algorithmic Framework for Bias Bounties Ira Globus-Harris Michael Kearns Aaron Roth FedML 102 24 0 25 Jan 2022
Simple and near-optimal algorithms for hidden stratification and multi-group learning Abdoreza Asadpour Daniel J. Hsu 105 20 0 22 Dec 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 363 75,888 0 18 May 2015