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20112026
most citedApproximations for Monotone and Non-monotone Submodular Maximization with Knapsack Constraints

7 citations · 9 across the 12 of their papers we have counts for

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cs.DS2026

If it is Good Then Drop it -- a Spiteful Poisson Process for Submodular Maximization

Ariel Kulik, Thiago Oliveira, Roy Schwartz +1

We study the problem of maximizing a general and not necessarily monotone submodular function subject to a matroid independence constraint. This problem has a rich history, with mu…

cs.DS2026

A Poisson Process for Submodular Maximization

Amit Ganz Rozenman, Ariel Kulik, Roy Schwartz +1

We study the problem of maximizing a monotone submodular function subject to a matroid independence constraint. For more than a decade, a rich body of work has studied this problem…

cs.DS2023

Approximate Monotone Local Search for Weighted Problems

Baris Can Esmer, Ariel Kulik, Daniel Marx +2

In a recent work, Esmer et al. describe a simple method - Approximate Monotone Local Search - to obtain exponential approximation algorithms from existing parameterized exact algor…

cs.DS2023

An EPTAS for Cardinality Constrained Multiple Knapsack via Iterative Randomized Rounding

Ilan Doron-Arad, Ariel Kulik, Hadas Shachnai

In [Math. Oper. Res., 2011], Fleischer et al. introduced a powerful technique for solving the generic class of separable assignment problems (SAP), in which a set of items of given…

cs.DS2023

Budgeted Matroid Maximization: a Parameterized Viewpoint

Ilan Doron-Arad, Ariel Kulik, Hadas Shachnai

We study budgeted variants of well known maximization problems with multiple matroid constraints. Given an -matchoid $\cm$ on a ground set , a profit function $p:E \righta…

cs.DS2023

Improved Approximation for Two-dimensional Vector Multiple Knapsack

Tomer Cohen, Ariel Kulik, Hadas Shachnai

We study the uniform -dimensional vector multiple knapsack (2VMK) problem, a natural variant of multiple knapsack arising in real-world applications such as virtual machine plac…