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Blind Pareto Fairness and Subgroup Robustness

Publication ,  Conference
Martinez, N; Bertran, M; Papadaki, A; Rodrigues, M; Sapiro, G
Published in: Proceedings of Machine Learning Research
January 1, 2021

Much of the work in the field of group fairness addresses disparities between predefined groups based on protected features such as gender, age, and race, which need to be available at train, and often also at test, time. These approaches are static and retrospective, since algorithms designed to protect groups identified a priori cannot anticipate and protect the needs of different at-risk groups in the future. In this work we analyze the space of solutions for worst-case fairness beyond demographics, and propose Blind Pareto Fairness (BPF), a method that leverages no-regret dynamics to recover a fair minimax classifier that reduces worst-case risk of any potential subgroup of sufficient size, and guarantees that the remaining population receives the best possible level of service. BPF addresses fairness beyond demographics, that is, it does not rely on predefined notions of at-risk groups, neither at train nor at test time. Our experimental results show that the proposed framework improves worst-case risk in multiple standard datasets, while simultaneously providing better levels of service for the remaining population. The code is available at github.com/natalialmg/BlindParetoFairness.

Duke Scholars

Published In

Proceedings of Machine Learning Research

EISSN

2640-3498

Publication Date

January 1, 2021

Volume

139

Start / End Page

7492 / 7501
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Martinez, N., Bertran, M., Papadaki, A., Rodrigues, M., & Sapiro, G. (2021). Blind Pareto Fairness and Subgroup Robustness. In Proceedings of Machine Learning Research (Vol. 139, pp. 7492–7501).
Martinez, N., M. Bertran, A. Papadaki, M. Rodrigues, and G. Sapiro. “Blind Pareto Fairness and Subgroup Robustness.” In Proceedings of Machine Learning Research, 139:7492–7501, 2021.
Martinez N, Bertran M, Papadaki A, Rodrigues M, Sapiro G. Blind Pareto Fairness and Subgroup Robustness. In: Proceedings of Machine Learning Research. 2021. p. 7492–501.
Martinez, N., et al. “Blind Pareto Fairness and Subgroup Robustness.” Proceedings of Machine Learning Research, vol. 139, 2021, pp. 7492–501.
Martinez N, Bertran M, Papadaki A, Rodrigues M, Sapiro G. Blind Pareto Fairness and Subgroup Robustness. Proceedings of Machine Learning Research. 2021. p. 7492–7501.

Published In

Proceedings of Machine Learning Research

EISSN

2640-3498

Publication Date

January 1, 2021

Volume

139

Start / End Page

7492 / 7501