Fair Clustering: Critique, Caveats, and Future Directions, IEEE SaTML 2025

with John Dickerson, Seyed A Esmaeili and Jamie Morgenstern

https://arxiv.org/pdf/2406.15960

Doubly Constrained Fair Clustering, NeurIPS 2023

with John Dickerson, Seyed A Esmaeili and Jamie Morgenstern

https://arxiv.org/pdf/2305.19475

Active Sampling for Min-Max Fairness, ICML 2022

with Jacob Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern and Chris Russel

https://arxiv.org/pdf/2006.06879

Adaptive Sampling to Reduce Disparate Performance, preprint

with Jacob Abernethy, Pranjal Awasthi, Matthäus Kleindessner and Jamie Morgenstern

https://arxiv.org/pdf/2006.06879v1

Robust Regression with Missing Feature, In Submission

with Jamie Morgenstern

Machine Teaching by Rule with Statistical Queries, In Submission

with Romain Camilleri, Kevin Jamieson and Jamie Morgenstern