An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning

29 April 2021

Papers citing "An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning"

5 / 5 papers shown

Title
Learning Social Welfare Functions K. Pardeshi Itai Shapira Ariel D. Procaccia Aarti Singh OffRL 17 1 0 27 May 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins I. E. Kumar Suresh Venkatasubramanian FedML 43 1 0 29 Feb 2024
Dividing Good and Better Items Among Agents with Bivalued Submodular Valuations Cyrus Cousins Vignesh Viswanathan Yair Zick 14 0 0 06 Feb 2023
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 22 1 0 24 Feb 2022