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Online algorithms / Adversary model / Adversary / Multi-armed bandit / Regret / Switching barriers / Bandit / Costs / Bianchi / Statistics / Decision theory / Analysis of algorithms


BANDITS WITHOUT REGRETS: THE POWER OF ADAPTIVE ADVERSARIES Nicol`o Cesa-Bianchi Dipartimento di Informatica Universit`a degli Studi di Milano, Italy
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Document Date: 2013-10-14 22:31:27

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File Size: 96,81 KB

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City

Milano / /

Company

Microsoft / Neural Information Processing Systems / /

Country

United States / Italy / Israel / /

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Facility

Weizmann Institute / /

IndustryTerm

basic player algorithms / recommendation systems / Online learning / /

Organization

Weizmann Institute / /

Person

Ofer Dekel / /

Position

player / /

Technology

two basic player algorithms / /

SocialTag