4 citations · 6 across the 9 of their papers we have counts for
8 papers · 1 filter
Tight Subsidy Bounds for Weighted Proportional Allocation of Mixed Manna
Jugal Garg, Eklavya Sharma, Xiaowei Wu
We study the problem of fairly allocating m indivisible items among n agents with possibly unequal entitlements in the mixed manna setting, where each item may be perceived as a go…
Equilibrium Pricing in Oligopolistic Data Markets
Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma +1
We study equilibrium pricing in oligopolistic data markets with budget-constrained buyers (e.g., machine learning companies purchasing data to improve model accuracy) and strategic…
Revenue-Optimal Pricing for Budget-Constrained Buyers in Data Markets
Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma +1
We study revenue-optimal pricing in data markets with rational, budget-constrained buyers. Such a market offers multiple datasets for sale, and buyers aim to improve the accuracy o…
Proportional and Pareto-Optimal Allocation of Chores with Subsidy
Jugal Garg, Eklavya Sharma, Xiaowei Wu
We consider the problem of allocating indivisible chores among agents with possibly different weights, aiming for a solution that is both fair and efficient. Specifically,…
Exploring Relations among Fairness Notions in Discrete Fair Division
Jugal Garg, Eklavya Sharma
Fair allocation of indivisible items among agents is a fundamental and extensively studied problem. However, fairness does not have a single universally accepted definition, leadin…
EF1 for Mixed Manna with Unequal Entitlements
Jugal Garg, Eklavya Sharma
We study fair division of indivisible mixed manna when agents have unequal entitlements, with weighted envy-freeness up to one item (WEF1) as our primary notion of fairness. We ide…