Learning Optimal Fair Scoring Systems for Multi-Class Classification

Learning Optimal Fair Scoring Systems for Multi-Class Classification

11 April 2023

Marie-José Huguet

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Papers citing "Learning Optimal Fair Scoring Systems for Multi-Class Classification"

13 / 13 papers shown

Title
A Generic Framework for Conformal Fairness Aditya T. Vadlamani Anutam Srinivasan Pranav Maneriker Ali Payani Srinivasan Parthasarathy FaML FedML 420 1 0 22 May 2025
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 125 0 0 03 Oct 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 173 0 0 20 Feb 2024
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction Wael Alghamdi Hsiang Hsu Haewon Jeong Hao Wang P. Michalák S. Asoodeh Flavio du Pin Calmon FaML 69 16 0 15 Jun 2022
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms Qing Ye Weijun Xie FaML 59 13 0 22 Dec 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 102 646 0 04 Oct 2020
Metrics for Multi-Class Classification: an Overview Margherita Grandini Enrico Bagli Giorgio Visani VLM 46 925 0 13 Aug 2020
Fairness with Overlapping Groups Forest Yang Moustapha Cissé Oluwasanmi Koyejo FaML 49 22 0 24 Jun 2020
Fairwashing: the risk of rationalization Ulrich Aïvodji Hiromi Arai O. Fortineau Sébastien Gambs Satoshi Hara Alain Tapp FaML 52 147 0 28 Jan 2019
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 146 3,979 0 06 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,131 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,337 0 07 Oct 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,708 0 10 Jun 2016