An efficient bandit algorithm for general weight assignments

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dc.contributor.authorGökçesu, Kaanen_US
dc.contributor.authorErgen, Tolgaen_US
dc.contributor.authorÇiftçi, S.en_US
dc.contributor.authorKozat, Süleyman Serdaren_US
dc.coverage.spatialAntalya, Turkeyen_US
dc.date.accessioned2018-04-12T11:45:14Z
dc.date.available2018-04-12T11:45:14Z
dc.date.issued2017en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 15-18 May 2017en_US
dc.descriptionConference Name: IEEE 25th Signal Processing and Communications Applications Conference, SIU 2017en_US
dc.description.abstractIn this paper, we study the adversarial multi armed bandit problem and present a generally implementable efficient bandit arm selection structure. Since we do not have any statistical assumptions on the bandit arm losses, the results in the paper are guaranteed to hold in an individual sequence manner. The introduced framework is able to achieve the optimal regret bounds by employing general weight assignments on bandit arm selection sequences. Hence, this framework can be used for a wide range of applications.en_US
dc.identifier.doi10.1109/SIU.2017.7960214en_US
dc.identifier.urihttp://hdl.handle.net/11693/37602
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2017.7960214en_US
dc.source.titleProceedings of the IEEE 25th Signal Processing and Communications Applications Conference, SIU 2017en_US
dc.subjectAdversarial multi-armed banditen_US
dc.subjectEfficient implementationen_US
dc.subjectGeneral frameworken_US
dc.subjectSwitching banditen_US
dc.subjectIndividual sequencesen_US
dc.subjectMulti-armed bandit problemen_US
dc.subjectOptimal regreten_US
dc.subjectSelection sequencesen_US
dc.subjectSignal processingen_US
dc.titleAn efficient bandit algorithm for general weight assignmentsen_US
dc.title.alternativeGenel ağırlık atamaları için verimli bir haydut algoritmasıen_US
dc.typeConference Paperen_US
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