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

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

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

4 / 4 papers shown
Title
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
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
36
1
0
29 Feb 2024
Dividing Good and Better Items Among Agents with Bivalued Submodular Valuations
Dividing Good and Better Items Among Agents with Bivalued Submodular Valuations
Cyrus Cousins
Vignesh Viswanathan
Yair Zick
8
0
0
06 Feb 2023
Optimizing generalized Gini indices for fairness in rankings
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
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