Enforcing fairness using ensemble of diverse Pareto-optimal models-Reference-Cited by-同舟云学术

Enforcing fairness using ensemble of diverse Pareto-optimal models

Published:2023-02-14 Issue:5 Volume:37 Page:1930-1958
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Guardieiro Vitória^ORCID,Raimundo Marcos M.,Poco Jorge

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Getulio Vargas Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s10618-023-00922-y.pdf

Reference61 articles.

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3. Agarwal A, Beygelzimer A, Dudik M, Langford J, Wallach H (2018) A reductions approach to fair classification. In: Dy J, Krause A (eds.) Proceedings of the 35th international conference on machine learning, Proceedings of machine learning research, vol. 80, pp. 60–69. PMLR. http://proceedings.mlr.press/v80/agarwal18a.html

4. Angwin J, Larson J, Mattu S, Kirchner L (2016) Compas recidivism risk score data and analysis. https://github.com/propublica/compas-analysis/

5. Angwin J, Larson J, Mattu S, Kirchner L (2016) Machine bias. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

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