Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making

18 September 2021

Papers citing "Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making"

7 / 7 papers shown

Title
Pragmatic Fairness: Developing Policies with Outcome Disparity Control Limor Gultchin Siyuan Guo Alan Malek Silvia Chiappa R. Silva 28 1 0 28 Jan 2023
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 142 45 0 12 Jul 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 41 56 0 11 May 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 89 30 0 31 Jan 2022
Fairness through Social Welfare Optimization V. Chen J. N. Hooker 24 1 0 30 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Resourceful Contextual Bandits Ashwinkumar Badanidiyuru John Langford Aleksandrs Slivkins 42 117 0 27 Feb 2014