activity
20172025
most citedComputing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods

14 citations · 35 across the 11 of their papers we have counts for

collaborators

13 papers

cs.GT2025

Existence of 2-EFX Allocations of Chores

Jugal Garg, Aniket Murhekar

We study the fair division of indivisible chores among agents with additive disutility functions. We investigate the existence of allocations satisfying the popular fairness notion…

cs.GT2024★ 1 cited

On the Theoretical Foundations of Data Exchange Economies

Hannaneh Akrami, Bhaskar Ray Chaudhury, Jugal Garg +1

The immense success of ML systems relies heavily on large-scale, high-quality data. The high demand for data has led to many paradigms that involve selling, exchanging, and sharing…

cs.GT2024

Constant-Factor EFX Exists for Chores

Jugal Garg, Aniket Murhekar, John Qin

We study the problem of fair allocation of chores to agents with additive preferences. In the discrete setting, envy-freeness up to any chore (EFX) has emerged as a compelling fair…

cs.GT2024

Weighted EF1 and PO Allocations with Few Types of Agents or Chores

Jugal Garg, Aniket Murhekar, John Qin

We investigate the existence of fair and efficient allocations of indivisible chores to asymmetric agents who have unequal entitlements or weights. We consider the fairness notion…

cs.GT2023

Nash Equilibria of Two-Player Matrix Games Repeated Until Collision

Aniket Murhekar, Eklavya Sharma

We introduce and initiate the study of a natural class of repeated two-player matrix games, called Repeated-Until-Collision (RUC) games. In each round, both players simultaneously…

cs.DS2023★ 1 cited

Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud

Aniket Murhekar, David Arbour, Tung Mai +1

Several cloud-based applications, such as cloud gaming, rent servers to execute jobs which arrive in an online fashion. Each job has a resource demand and must be dispatched to a c…

cs.GT2022★ 11 cited

New Algorithms for the Fair and Efficient Allocation of Indivisible Chores

Jugal Garg, Aniket Murhekar, John Qin

We study the problem of fairly and efficiently allocating indivisible chores among agents with additive disutility functions. We consider the widely-used envy-based fairness proper…

cs.GT2022★ 14 cited

Computing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods

Jugal Garg, Aniket Murhekar

We study the problem of fair and efficient allocation of a set of indivisible goods to agents with additive valuations using the popular fairness notions of envy-freeness up to one…

cs.GT2022

(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna

Vasilis Livanos, Ruta Mehta, Aniket Murhekar

We study the problem of finding fair and efficient allocations of a set of indivisible items to a set of agents, where each item may be a good (positively valued) for some agents a…

cs.GT2021★ 8 cited

Tractable Fragments of the Maximum Nash Welfare Problem

Jugal Garg, Edin Husić, Aniket Murhekar +1

We study the problem of maximizing Nash welfare (MNW) while allocating indivisible goods to asymmetric agents. The Nash welfare of an allocation is the weighted geometric mean of a…

cs.GT2021

Fair and Efficient Allocations of Chores under Bivalued Preferences

Jugal Garg, Aniket Murhekar, John Qin

We study the problem of fair and efficient allocation of a set of indivisible chores to agents with additive cost functions. We consider the popular fairness notion of envy-freenes…

cs.GT2021

On Fair and Efficient Allocations of Indivisible Public Goods

Jugal Garg, Pooja Kulkarni, Aniket Murhekar

We study fair allocation of indivisible public goods subject to cardinality (budget) constraints. In this model, we have n agents and m available public goods, and we want to selec…

cs.PL2017

Automated Recurrence Analysis for Almost-Linear Expected-Runtime Bounds

Krishnendu Chatterjee, Hongfei Fu, Aniket Murhekar

We consider the problem of developing automated techniques for solving recurrence relations to aid the expected-runtime analysis of programs. Several classical textbook algorithms…