activity
20122017
most citedConstrained Submodular Maximization via a Non-symmetric Technique

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DS2017

$O(\mbox{depth})$-Competitive Algorithm for Online Multi-level Aggregation

Niv Buchbinder, Moran Feldman, Joseph Naor +1

We consider a multi-level aggregation problem in a weighted rooted tree, studied recently by Bienkowski et al. (2015). In this problem requests arrive over time at the nodes of the…

cs.DS201616 cited

Constrained Submodular Maximization via a Non-symmetric Technique

Niv Buchbinder, Moran Feldman

The study of combinatorial optimization problems with a submodular objective has attracted much attention in recent years. Such problems are important in both theory and practice b…

cs.DS2015

Online Submodular Maximization with Preemption

Niv Buchbinder, Moran Feldman, Roy Schwartz

Submodular function maximization has been studied extensively in recent years under various constraints and models. The problem plays a major role in various disciplines. We study…

cs.DS2014

Comparing Apples and Oranges: Query Tradeoff in Submodular Maximization

Niv Buchbinder, Moran Feldman, Roy Schwartz

Fast algorithms for submodular maximization problems have a vast potential use in applicative settings, such as machine learning, social networks, and economics. Though fast algori…

cs.DS2012

Approximation Algorithms for Online Weighted Rank Function Maximization under Matroid Constraints

Niv Buchbinder, Joseph, Naor +2

Consider the following online version of the submodular maximization problem under a matroid constraint: We are given a set of elements over which a matroid is defined. The goal is…