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Simple and Optimal Online Contention Resolution Schemes for k-Uniform Matroids

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We provide a simple (1-O( 1 √ k ))-selectable Online Contention Resolution Scheme for k-uniform matroids against a fixed-order adversary. If Ai and Gi denote the set of selected elements and the set of realized active elements among the first i (respectively), our algorithm selects with probability 1-1 √ k any active element i such that |Ai-1|+1 (1-1 √ k ) -E[|Gi|]+ √ k. This implies a (1-O( 1 √ k )) prophet inequality against fixed-order adversaries for k-uniform matroids that is considerably simpler than previous algorithms [2, 4, 18]. We also prove that no OCRS can be (1-( q log k k ))-selectable for k-uniform matroids against an almighty adversary. This guarantee is matched by the (known) simple greedy algorithm that selects every active element with probability 1-θ( q log k k ) [17].

Original languageEnglish (US)
Title of host publication15th Innovations in Theoretical Computer Science Conference, ITCS 2024
EditorsVenkatesan Guruswami
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773096
DOIs
StatePublished - Jan 2024
Event15th Innovations in Theoretical Computer Science Conference, ITCS 2024 - Berkeley, United States
Duration: Jan 30 2024Feb 2 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume287
ISSN (Print)1868-8969

Conference

Conference15th Innovations in Theoretical Computer Science Conference, ITCS 2024
Country/TerritoryUnited States
CityBerkeley
Period1/30/242/2/24

All Science Journal Classification (ASJC) codes

  • Software

Keywords

  • approximation algorithms
  • online algorithms
  • online contention resolutions schemes
  • prophet inequalities

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