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Decision theory / Econometrics / Loss function / Statistics / Statistical theory / Estimation theory


Machine Learning in an Auction Environment Patrick Hummel R. Preston McAfee Google Inc.
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Document Date: 2014-08-26 00:42:08

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City

Seoul / Mountain View / /

Company

SIAM Journal / eCPM / Yahoo! / CPM / USA Google Inc. / Patrick Hummel R. Preston McAfee Google Inc. / /

Country

Korea / /

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IndustryTerm

advertising opportunities / exploration algorithm / online auctions / electronic media / online auction setting / plausible algorithms / machine learning algorithms / typical solutions / repeated online auctions / online advertising / possible algorithm / advertising opportunity / greedy algorithm / search auctions / sponsored search auctions / web content optimization / e - commerce / online advertising setting / search ads / /

Organization

International World Wide Web Conference Committee / Industrial Organization / /

Person

Hal Varian / Mohammad Mahdian / Tim Lipus / Joshua Dillon / Chris Harris / Martin Zinkevich / /

Position

author / mechanism designer / auctioneer / /

ProgrammingLanguage

E / /

PublishedMedium

SIAM Journal on Computing / Review of Economic Studies / Games and Economic Behavior / Machine Learning / American Political Science Review / Journal of Economic Dynamics and Control / Journal of Economic Theory / /

Technology

UCB algorithm / machine learning algorithms / exploration algorithm / machine learning system / existing algorithms / Data Mining / Machine Learning / simulation / existing machine learning algorithms / possible algorithm / /

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