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researcher

Eklavya Sharma

17 papers hereh-index 6128 citations18 works total

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

author position
  • sole author4
  • middle author7
  • last author4

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.GT10
  • cs.DS5
  • cs.CG2
same name
  • Eklavya Sharma — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedApproximation Algorithms for Generalized Multidimensional Knapsack

4 citations · 8 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.GT2026

Non-Linear Pricing Restores Tractability for a Data Seller

Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma +1

We consider a data seller who designs pricing mechanisms over multiple datasets to maximize revenue from budget-constrained buyers. The seller offers multiple datasets and assigns…

cs.GT2026

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…

cs.GT2026

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…

cs.GT2026

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…

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