21 citations · 21 across the 3 of their papers we have counts for
3 papers
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…
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…
Large language models that replace human participants can harmfully misportray and flatten identity groups
Angelina Wang, Jamie Morgenstern, John P. Dickerson
Large language models (LLMs) are increasing in capability and popularity, propelling their application in new domains -- including as replacements for human participants in computa…