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Balancing Fairness and Accuracy in Data-Restricted Binary Classification

Balancing Fairness and Accuracy in Data-Restricted Binary Classification

12 March 2024
Zachary McBride Lazri
Danial Dervovic
Antigoni Polychroniadou
Ivan Brugere
Dana Dachman-Soled
Min Wu
    FaML
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Papers citing "Balancing Fairness and Accuracy in Data-Restricted Binary Classification"

2 / 2 papers shown
Title
CryptoCredit: Securely Training Fair Models
CryptoCredit: Securely Training Fair Models
Leo de Castro
Jiahao Chen
Antigoni Polychroniadou
30
3
0
09 Oct 2020
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
192
2,082
0
24 Oct 2016
1