A Maximal Correlation Framework for Fair Machine Learning

As machine learning algorithms grow in popularity and diversify to many industries, ethical and legal concerns regarding their fairness have become increasingly relevant. We explore the problem of algorithmic fairness, taking an information–theoretic view. The maximal correlation framework is introd...

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Bibliographic Details
Main Authors: Lee, Joshua (Author), Bu, Yuheng (Author), Sattigeri, Prasanna (Author), Panda, Rameswar (Author), Wornell, Gregory W. (Author), Karlinsky, Leonid (Author), Schmidt Feris, Rogerio (Author)
Format: Article
Language:English
Published: MDPI AG, 2022-04-11T18:53:02Z.
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