3 papers
cs.LG2025
Welfare-Centric Clustering
Claire Jie Zhang, Seyed A. Esmaeili, Jamie Morgenstern
Fair clustering has traditionally focused on ensuring equitable group representation or equalizing group-specific clustering costs. However, Dickerson et al. (2025) recently showed…
cs.LG2024
Robust Fair Clustering with Group Membership Uncertainty Sets
Sharmila Duppala, Juan Luque, John P. Dickerson +1
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…
cs.LG2024
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern +1
Clustering is a fundamental problem in machine learning and operations research. Therefore, given the fact that fairness considerations have become of paramount importance in algor…