Fairness in ML

Distributional Individual Fairness in Clustering
Introducing a notion of individual fairness for popular $k$-clustering problems such as $k$-means, $k$-center, $k$-median etc.
Nihesh Anderson, Suman K. Bera, Syamantak Das, Yang Liu
Arxiv Version
Fair Algorithms for Clustering

We study the problem of finding low-cost fair clusterings in data where each data point may belong to many protected groups. Our work …
Suman K. Bera, Deeparnab Chakrabarty, Nicolas Flores, Maryam Negahbani
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