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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"

14 / 14 papers shown
Title
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
Marlies Hafer
Alexander Marx
CML
94
0
0
26 Mar 2025
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine
  Learning
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
Jake Fawkes
Nic Fishman
Mel Andrews
Zachary C. Lipton
43
1
0
12 Oct 2024
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical
  AI-Enabled Decision-Support Tools
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
Rosemarie Santa Gonzalez
Ryan Piansky
Sue M Bae
Justin B. Biddle
Daniel K. Molzahn
21
0
0
17 Sep 2024
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
Uncertainty-based Fairness Measures
Uncertainty-based Fairness Measures
Selim Kuzucu
Jiaee Cheong
Hatice Gunes
Sinan Kalkan
UD
PER
37
4
0
18 Dec 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit
  Courts
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Elliott Ash
Naman Goel
Nianyun Li
Claudia Marangon
Peiyao Sun
27
2
0
28 Oct 2023
Correcting for Selection Bias and Missing Response in Regression using
  Privileged Information
Correcting for Selection Bias and Missing Response in Regression using Privileged Information
Philip A. Boeken
Noud de Kroon
Mathijs de Jong
Joris M. Mooij
O. Zoeter
17
4
0
29 Mar 2023
Consistent Range Approximation for Fair Predictive Modeling
Consistent Range Approximation for Fair Predictive Modeling
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
33
10
0
21 Dec 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven
  Decision-making Algorithms
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
Amanda Coston
Anna Kawakami
Haiyi Zhu
Kenneth Holstein
Hoda Heidari
44
34
0
30 Jun 2022
RMT-Net: Reject-aware Multi-Task Network for Modeling
  Missing-not-at-random Data in Financial Credit Scoring
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring
Qiang Liu
Yingtao Luo
Shu Wu
Zhen Zhang
Xiangnan Yue
Hong Jin
Liang Wang
28
8
0
01 Jun 2022
Interpretable Data-Based Explanations for Fairness Debugging
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan
Jiongli Zhu
Boris Glavic
Babak Salimi
16
53
0
17 Dec 2021
Assessing Fairness in the Presence of Missing Data
Assessing Fairness in the Presence of Missing Data
Yiliang Zhang
Q. Long
FaML
31
35
0
07 Dec 2021
Fairness in Missing Data Imputation
Fairness in Missing Data Imputation
Yiliang Zhang
Q. Long
28
12
0
22 Oct 2021
Measuring Fairness Under Unawareness of Sensitive Attributes: A
  Quantification-Based Approach
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach
Alessandro Fabris
Andrea Esuli
Alejandro Moreo
Fabrizio Sebastiani
23
18
0
17 Sep 2021
1