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20152024
most citedTight Approximation Algorithms for p-Mean Welfare Under Subadditive Valuations

9 citations · 13 across the 5 of their papers we have counts for

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cs.GT2024

Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line

Umang Bhaskar, Soumyajit Pyne

In Hotelling's model of spatial competition, a unit mass of voters is distributed in the interval (with their location corresponding to their political persuasion), and eac…

cs.GT2020

Optimal Bounds on the Price of Fairness for Indivisible Goods

Siddharth Barman, Umang Bhaskar, Nisarg Shah

In the allocation of resources to a set of agents, how do fairness guarantees impact the social welfare? A quantitative measure of this impact is the price of fairness, which measu…

cs.GT20209 cited

Tight Approximation Algorithms for p-Mean Welfare Under Subadditive Valuations

Siddharth Barman, Umang Bhaskar, Anand Krishna +1

We develop polynomial-time algorithms for the fair and efficient allocation of indivisible goods among agents that have subadditive valuations over the goods. We first consider…

cs.GT2019

Computational Aspects of Equilibria in Discrete Preference Games

Phani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam +2

We study the complexity of equilibrium computation in discrete preference games. These games were introduced by Chierichetti, Kleinberg, and Oren (EC '13, JCSS '18) to model decisi…

cs.GT2018

Equilibrium Computation in Atomic Splittable Routing Games with Convex Cost Functions

Umang Bhaskar, Phani Raj Lolakapuri

We present polynomial-time algorithms as well as hardness results for equilibrium computation in atomic splittable routing games, for the case of general convex cost functions. The…

cs.GT20151 cited

Computing Optimal Tolls in Routing Games without Knowing the Latency Functions

Siddharth Barman, Umang Bhaskar, Chaitanya Swamy

We consider the following question: in a nonatomic routing game, can the tolls that induce the minimum latency flow be computed without knowing the latency functions? Since the lat…