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The Importance of Modeling Data Missingness in Algorithmic Fairness: A
  Causal Perspective

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

21 December 2020
Naman Goel
Alfonso Amayuelas
Amit Deshpande
Ajay Sharma
    FaML
ArXivPDFHTML

Papers citing "The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective"

2 / 2 papers shown
Title
Learning Fair Policies for Multi-stage Selection Problems from
  Observational Data
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Zhuangzhuang Jia
G. A. Hanasusanto
P. Vayanos
Weijun Xie
FaML
23
2
0
20 Dec 2023
Assessing Fairness in the Presence of Missing Data
Assessing Fairness in the Presence of Missing Data
Yiliang Zhang
Q. Long
FaML
23
35
0
07 Dec 2021
1