activity
20202026
most citedApproximation Algorithms for Generalized Multidimensional Knapsack

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

collaborators

17 papers

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…

cs.GT2025

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,…

cs.DS2025

Automating the Search for Small Hard Examples to Approximation Algorithms

Eklavya Sharma

Given an approximation algorithm , we want to find the input with the worst approximation ratio, i.e., the input for which 's output's objective value is the worst possible c…

cs.GT2025

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…

cs.GT2024

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…

cs.GT2024

Best-of-Both-Worlds Fairness of the Envy-Cycle-Elimination Algorithm

Jugal Garg, Eklavya Sharma

We consider the problem of fairly dividing indivisible goods among agents with additive valuations. It is known that an Epistemic EFX and -MMS allocation can be obtained using…

cs.GT2023

Simplification and Improvement of MMS Approximation

Hannaneh Akrami, Jugal Garg, Eklavya Sharma +1

We consider the problem of fairly allocating a set of indivisible goods among agents with additive valuations, using the popular fairness notion of maximin share (MMS). Since M…

cs.GT2022★ 2 cited

New Fairness Concepts for Allocating Indivisible Items

Ioannis Caragiannis, Jugal Garg, Nidhi Rathi +2

For the fundamental problem of fairly dividing a set of indivisible items among agents, envy-freeness up to any item (EFX) and maximin fairness (MMS) are arguably the most compelli…

cs.DS2021

Geometry Meets Vectors: Approximation Algorithms for Multidimensional Packing

Arindam Khan, Eklavya Sharma, K. V. N. Sreenivas

We study the generalized multidimensional bin packing problem (GVBP) that generalizes both geometric packing and vector packing. Here, we are given rectangular items where the…

cs.CG2021

Tight Approximation Algorithms for Geometric Bin Packing with Skewed Items

Arindam Khan, Eklavya Sharma

In the Two-dimensional Bin Packing (2BP) problem, we are given a set of rectangles of height and width at most one and our goal is to find an axis-aligned nonoverlapping packing of…

cs.DS2021★ 4 cited

Approximation Algorithms for Generalized Multidimensional Knapsack

Arindam Khan, Eklavya Sharma, K. V. N. Sreenivas

We study a generalization of the knapsack problem with geometric and vector constraints. The input is a set of rectangular items, each with an associated profit and nonnegative…

cs.DS2020★ 1 cited

Analysis of the Harmonic Function Used in Bin-Packing

Eklavya Sharma

The harmonic function was first introduced by Lee and Lee (JACM 1985) for analyzing their online bin-packing algorithm. Subsequently, it has been used to obtain approximation algor…

cs.DS2020★ 1 cited

An Approximation Algorithm for Covering Linear Programs and its Application to Bin-Packing

Eklavya Sharma

We give an -approximation algorithm for solving covering LPs, assuming the presence of a -approximation algorithm for a certain optimization problem. Our algorithm i…

cs.CG2020

Harmonic Algorithms for Packing d-dimensional Cuboids Into Bins

Eklavya Sharma

We explore approximation algorithms for the -dimensional geometric bin packing problem (BP). Caprara (MOR 2008) gave a harmonic-based algorithm for BP having an asymptotic…