activity
20182021
collaborators

5 papers

cs.GT2021

Polynomial Time Algorithms to Find an Approximate Competitive Equilibrium for Chores

Shant Boodaghians, Bhaskar Ray Chaudhury, Ruta Mehta

Competitive equilibrium with equal income (CEEI) is considered one of the best mechanisms to allocate a set of items among agents fairly and efficiently. In this paper, we study th…

cs.GT2020

Smoothed Complexity of 2-player Nash Equilibria

Shant Boodaghians, Joshua Brakensiek, Samuel B. Hopkins +1

We prove that computing a Nash equilibrium of a two-player () game with payoffs in is PPAD-hard (under randomized reductions) even in the smoothed analysis set…

cs.CC2018

Smoothed Efficient Algorithms and Reductions for Network Coordination Games

Shant Boodaghians, Rucha Kulkarni, Ruta Mehta

Worst-case hardness results for most equilibrium computation problems have raised the need for beyond-worst-case analysis. To this end, we study the smoothed complexity of finding…

cs.GT2018

Revealed Preference Dimension via Matrix Sign Rank

Shant Boodaghians

Given a data-set of consumer behaviour, the Revealed Preference Graph succinctly encodes inferred relative preferences between observed outcomes as a directed graph. Not all graphs…

stat.ML2018

Performance Metric Elicitation from Pairwise Classifier Comparisons

Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta +1

Given a binary prediction problem, which performance metric should the classifier optimize? We address this question by formalizing the problem of Metric Elicitation. The goal of m…