LAUSR

Learning Fair Representations via Distance Correlation Minimization.

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1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3187165

Abstract: As machine learning algorithms are increasingly deployed for high-impact automated decision-making, the presence of bias (in datasets or tasks) gradually becomes one of the most critical challenges in machine learning applications. Such challenges range from… read more here.

Keywords: fair representations; distance correlation; machine learning; learning fair ... See more keywords