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Jugal Garg

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.GT4
ORCID 0000-0001-6439-7308

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedTractable Fragments of the Maximum Nash Welfare Problem

8 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

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

Breaking the 3/4 Barrier for Approximate Maximin Share

Hannaneh Akrami, Jugal Garg

We study the fundamental problem of fairly allocating a set of indivisible goods among n agents with additive valuations using the desirable fairness notion of maximin share (MMS…

cs.GT2023

Fair and Efficient Allocation of Indivisible Chores with Surplus

Hannaneh Akrami, Bhaskar Ray Chaudhury, Jugal Garg +2

We study fair division of indivisible chores among n agents with additive disutility functions. Two well-studied fairness notions for indivisible items are envy-freeness up to on…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.