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Fair When Trained, Unfair When Deployed: Observable Fairness Measures
  are Unstable in Performative Prediction Settings

Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings

10 February 2022
Alan Mishler
Niccolò Dalmasso
ArXiv (abs)PDFHTML

Papers citing "Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings"

8 / 8 papers shown
Fixed Points and Stochastic Meritocracies: A Long-Term Perspective
Fixed Points and Stochastic Meritocracies: A Long-Term Perspective
Gaurab Pokharel
Diptangshu Sen
Sanmay Das
Juba Ziani
139
0
0
08 Oct 2025
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Y. Liu
Lu Cheng
FaML
607
7
0
10 Jun 2024
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2023
Sina Baharlouei
Shivam Patel
Meisam Razaviyayn
480
4
0
06 Dec 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision
  Forests
Enhancing Group Fairness in Online Settings Using Oblique Decision ForestsInternational Conference on Learning Representations (ICLR), 2023
Somnath Basu Roy Chowdhury
Nicholas Monath
Ahmad Beirami
Rahul Kidambi
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
446
3
0
17 Oct 2023
Improving Fair Training under Correlation Shifts
Improving Fair Training under Correlation ShiftsInternational Conference on Machine Learning (ICML), 2023
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
280
22
0
05 Feb 2023
Consistent Range Approximation for Fair Predictive Modeling
Consistent Range Approximation for Fair Predictive ModelingProceedings of the VLDB Endowment (PVLDB), 2022
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
304
14
0
21 Dec 2022
Prisoners of Their Own Devices: How Models Induce Data Bias in
  Performative Prediction
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
277
5
0
27 Jun 2022
Algorithm Fairness in AI for Medicine and Healthcare
Algorithm Fairness in AI for Medicine and Healthcare
Richard J. Chen
Tiffany Y. Chen
Jana Lipkova
Judy J. Wang
Drew F. K. Williamson
Ming Y. Lu
S. Sahai
Faisal Mahmood
FaML
327
54
0
01 Oct 2021
1
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