OxonFair: A Flexible Toolkit for Algorithmic Fairness

OxonFair: A Flexible Toolkit for Algorithmic Fairness

30 June 2024

Brent Mittelstadt

Chris Russell

Papers citing "OxonFair: A Flexible Toolkit for Algorithmic Fairness"

8 / 8 papers shown

Title
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool Floris Holstege Mackenzie Jorgensen Kirtan Padh Jurriaan Parie Joel Persson Krsto Prorokovic Lukas Snoek 93 0 0 03 Feb 2025
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 72 1 0 03 Jun 2024
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 71 58 0 04 Oct 2022
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 104 180 0 20 Apr 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 422 0 17 Feb 2021
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 84 598 0 13 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 213 669 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016