Fairness-Aware Learning for Continuous Attributes and TreatmentsDownload PDFOpen Website

2019 (modified: 11 Nov 2022)ICML 2019Readers: Everyone
Abstract: We address the problem of algorithmic fairness: ensuring that the outcome of a classifier is not biased towards certain values of sensitive variables such as age, race or gender. As common fairness...
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