Fairness for AUC via Feature Augmentation

24 November 2021

Papers citing "Fairness for AUC via Feature Augmentation"

9 / 9 papers shown

Title
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 33 0 0 17 Feb 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 24 1 0 24 Jan 2024
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Data Bias Management Gianluca Demartini Kevin Roitero Stefano Mizzaro 24 5 0 15 May 2023
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 71 58 0 04 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 31 159 0 14 Jul 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 77 30 0 31 Jan 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 198 2,082 0 24 Oct 2016