Learning Fair Representations via Distance Correlation Minimization.
Sign Up to like & getrecommendations! 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