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Arbitrariness Lies Beyond the Fairness-Accuracy Frontier

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier

15 June 2023
Carol Xuan Long
Hsiang Hsu
Wael Alghamdi
Flavio du Pin Calmon
    FaML
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Papers citing "Arbitrariness Lies Beyond the Fairness-Accuracy Frontier"

5 / 5 papers shown
Title
The Disparate Benefits of Deep Ensembles
The Disparate Benefits of Deep Ensembles
Kajetan Schweighofer
Adrián Arnaiz-Rodríguez
Sepp Hochreiter
Nuria Oliver
FedML
28
1
0
17 Oct 2024
Predictive Churn with the Set of Good Models
Predictive Churn with the Set of Good Models
J. Watson-Daniels
Flavio du Pin Calmon
Alexander DÁmour
Carol Xuan Long
David C. Parkes
Berk Ustun
83
7
0
12 Feb 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive
  Multiplicity Estimation
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Hsiang Hsu
Guihong Li
Shaohan Hu
Chun-Fu Chen
Chen
28
5
0
01 Feb 2024
Fairness without Imputation: A Decision Tree Approach for Fair
  Prediction with Missing Values
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
Haewon Jeong
Hao Wang
Flavio du Pin Calmon
FaML
51
33
0
21 Sep 2021
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
207
2,087
0
24 Oct 2016
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