A Framework for the Secretary Problem on the Intersection of Matroids
dc.contributor.author
Feldman, Moran
dc.contributor.author
Svensson, Ola
dc.contributor.author
Zenklusen, Rico
dc.date.accessioned
2020-10-07T12:02:27Z
dc.date.available
2020-10-07T12:02:27Z
dc.date.issued
2018
dc.identifier.isbn
978-1-61197-503-1
en_US
dc.identifier.other
10.1137/1.9781611975031.48
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/444895
dc.description.abstract
The secretary problem became one of the most prominentonline selection problems due to its numerous applications inonline mechanism design. The task is to select a maximumweight subset of elements subject to given constraints, whereelements arrive one-by-one in random order, revealing aweight upon arrival. The decision whether to select anelement has to be taken immediately after its arrival. Thedifferent applications that map to the secretary problem askfor different constraint families to be handled. The mostprominent ones are matroid constraints, which both capturemany relevant settings and admit strongly competitivesecretary algorithms. However, dealing with more involvedconstraints proved to be much more difficult, and strongalgorithms are known only for a few specific settings. In thispaper, we present a general framework for dealing with thesecretary problem over the intersection of several matroids.This framework allows us to combine and exploit the largeset of matroid secretary algorithms known in the literature.As one consequence, we get constant-competitive secretaryalgorithms over the intersection of any constant numberof matroids whose corresponding (single-)matroid secretaryproblems are currently known to have a constant-competitivealgorithm. Moreover, we show that our results extend tosubmodular objectives.
en_US
dc.language.iso
en
en_US
dc.publisher
SIAM
dc.subject
matroid secretary problem
en_US
dc.subject
matroid intersection
en_US
dc.subject
online algorithms
en_US
dc.title
A Framework for the Secretary Problem on the Intersection of Matroids
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018)
en_US
ethz.pages.start
735
en_US
ethz.pages.end
752
en_US
ethz.event
29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018)
en_US
ethz.event.location
New Orleans, LA, USA
en_US
ethz.event.date
January 7-10, 2018
en_US
ethz.grant
New Approaches to Constrained Submodular Maximization
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Philadelphia, PA
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02000 - Dep. Mathematik / Dep. of Mathematics::02502 - Institut für Operations Research / Institute for Operations Research::09487 - Zenklusen, Rico / Zenklusen, Rico
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02000 - Dep. Mathematik / Dep. of Mathematics::02502 - Institut für Operations Research / Institute for Operations Research::09487 - Zenklusen, Rico / Zenklusen, Rico
en_US
ethz.grant.agreementno
165866
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte MINT
ethz.date.deposited
2019-01-24T16:02:31Z
ethz.source
FORM
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-10-07T12:02:39Z
ethz.rosetta.lastUpdated
2024-02-02T12:14:46Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/319583
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/364995
ethz.COinS
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