Robust monotone submodular function maximization

James B. Orlin, Andreas S. Schulz, Rajan Udwani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

We consider a robust formulation, introduced by Krause et al. (2008), of the classic cardinality constrained monotone submodular function maximization problem, and give the first constant factor approximation results. The robustness considered is w.r.t. adversarial removal of a given number of elements from the chosen set. In particular, for the fundamental case of single element removal, we show that one can approximate the problem up to a factor (1−1/e)−ϵ by making O(n 1/ϵ) queries, for arbitrary ϵ > 0. The ideas are also extended to more general settings.

Original languageEnglish
Title of host publicationInteger Programming and Combinatorial Optimization - 18th International Conference, IPCO 2016, Proceedings
EditorsMartin Skutella, Quentin Louveaux
PublisherSpringer Verlag
Pages312-324
Number of pages13
ISBN (Print)9783319334608
DOIs
StatePublished - 2016
Externally publishedYes
Event18th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2016 - Liege, Belgium
Duration: 1 Jun 20163 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9682
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2016
Country/TerritoryBelgium
CityLiege
Period1/06/163/06/16

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