activity
20172026
most citedGroup Strategyproof Pareto-Stable Marriage with Indifferences via the Generalized Assignment Game

5 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DS2026

Moore's Greedy Algorithm for Minimizing the Number of Late Jobs: Structure and Implementation

Dean Matthew Menezes, C. Gregory Plaxton

Scheduling jobs with deadlines and processing times on a single resource to minimize late jobs equates to finding a maximum-cardinality feasible subset. Moore (1968) proposed a…

cs.GT2026

Hospitals/Residents with Inseparable Couples: Finding a Coalition-Stable Assignment Is NP-Hard

Zeyuan Hu, C. Gregory Plaxton

In recent work on course allocation, Rodríguez and Manlove consider the complexity of finding a stable assignment under four notions of stability, including two coalitional notions…

cs.GT2025

Constant-Approximate and Constant-Strategyproof Two-Facility Location

Elijah Journey Fullerton, Zeyuan Hu, C. Gregory Plaxton

We study deterministic mechanisms for the two-facility location problem. Given the reported locations of n agents on the real line, such a mechanism specifies where to build the tw…

cs.GT2021★ 2 cited

The Obnoxious Facility Location Game with Dichotomous Preferences

Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha

We consider a facility location game in which agents reside at known locations on a path, and heterogeneous facilities are to be constructed on the path. Each agent is adve…

cs.GT2021

Egalitarian Resource Sharing Over Multiple Rounds

Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha

It is often beneficial for agents to pool their resources in order to better accommodate fluctuations in individual demand. Many multi-round resource allocation mechanisms operate…

cs.GT2021★ 1 cited

Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences

Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha

In recent work, Gourvès, Lesca, and Wilczynski propose a variant of the classic housing markets model where the matching between agents and objects evolves through Pareto-improving…