activity
20222025
most citedImproved Metric Distortion via Threshold Approvals

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT2025

Low Cost, Fair, and Representative Committees in a Metric Space

Christopher Jerrett, Elliot Anshelevich

We study the problem of selecting a representative committee of agents from a collection of agents in a common metric space. This problem is related to choosing facilit…

cs.GT2024

Metric Distortion of Line-up Elections: The Right Person for the Right Job

Christopher Jerrett, Yue Han, Elliot Anshelevich

We provide mechanisms and new metric distortion bounds for line-up elections. In such elections, a set of voters, candidates, and positions are all located in a metr…

cs.GT2024

Metric Distortion under Group-Fair Objectives

Georgios Amanatidis, Elliot Anshelevich, Christopher Jerrett +1

We consider a voting problem in which a set of agents have metric preferences over a set of alternatives, and are also partitioned into disjoint groups. Given information about the…

cs.GT2023★ 1 cited

Improved Metric Distortion via Threshold Approvals

Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett +1

We consider a social choice setting in which agents and alternatives are represented by points in a metric space, and the cost of an agent for an alternative is the distance betwee…

cs.AI2022

Optimizing Multiple Simultaneous Objectives for Voting and Facility Location

Yue Han, Christopher Jerrett, Elliot Anshelevich

We study the classic facility location setting, where we are given clients and possible facility locations in some arbitrary metric space, and want to choose a location to…