58 citations · 119 across the 14 of their papers we have counts for
4 papers · 1 filter
Approximation Algorithms for Fair Range Clustering
Sèdjro S. Hotegni, Sepideh Mahabadi, Ali Vakilian
This paper studies the fair range clustering problem in which the data points are from different demographic groups and the goal is to pick centers with the minimum clustering…
Sequential Strategic Screening
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl +2
We initiate the study of strategic behavior in screening processes with multiple classifiers. We focus on two contrasting settings: a conjunctive setting in which an individual mus…
Individual Preference Stability for Clustering
Saba Ahmadi, Pranjal Awasthi, Samir Khuller +4
In this paper, we propose a natural notion of individual preference (IP) stability for clustering, which asks that every data point, on average, is closer to the points in its own…
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline
Avrim Blum, Kevin Stangl, Ali Vakilian
Consider an actor making selection decisions using a series of classifiers, which we term a sequential screening process. The early stages filter out some applicants, and in the fi…