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Proportional fairness in clustering: A social choice perspective
We study the proportional clustering problem of Chen et al.(ICML'19) and relate it to the area
of multiwinner voting in computational social choice. We show that any clustering satisfying …
of multiwinner voting in computational social choice. We show that any clustering satisfying …
Fair Clustering: Critique, Caveats, and Future Directions
Clustering is a fundamental problem in machine learning and operations research.
Therefore, given the fact that fairness considerations have become of paramount importance …
Therefore, given the fact that fairness considerations have become of paramount importance …
Robust Fair Clustering with Group Membership Uncertainty Sets
We study the canonical fair clustering problem where each cluster is constrained to have
close to population-level representation of each group. Despite significant attention, the …
close to population-level representation of each group. Despite significant attention, the …