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Document Date: 2013-08-12 13:25:40 Open Document File Size: 1,18 MB Share Result on Facebook
City Chicago / / Company Neural Information Processing Systems / Google / / Country United States / / Currency USD / / / IndustryTerm grid search / experiment infrastructure / sponsored search advertising / search vs. display ad / straw-man algorithm / online gradient descent / wide-area web cache sharing protocol / gene interaction search / Online gradient descent1 / online advertising / microsofts bing search engine / learning systems / feature management / online learning / data mining / machine learning machinery / sponsored search auctions / online setting / advertising industry / Web-scale Bayesian click-through rate prediction / Sparse online learning / sponsored search / contextual advertising / contextual advertising system / online loss / display advertising / sparse dot product / on-line setting / online optimization / Web search / online framework / online algorithms / online graP / data mining community / pre-processing / search advertising / learning algorithm / learning algorithms / online conditioning / / Organization U.S. Securities and Exchange Commission / / Person Philip Henderson / Todd Phillips / Jean-Francois Crespo / Daniel Golovin / Dietmar Ebner / Michael Young / Sajid Siddiqi / Vinay Chaudhary / J. Almeida / A. Broder / Eugene Davydov / R. Ananthanarayanan / V / K. Yang / A. Y. Ng / Ricky Shan / P. Cao / Mike Hochberg / Gary Holt / Matthew Streeter / P. Tucker / Sridhar Ramaswamy / Julian Grady / Jonathan Feinberg / Dan Liu / Martin Wattenberg / Tom Boulos / / Position Regularized Leader / author / representative / Cao / / Product Poisson / AucLoss / / ProvinceOrState Illinois / / PublishedMedium Machine Learning / / Technology RAM / wide-area web cache sharing protocol / FTRL-Proximal algorithm / search engine / machine learning / learning algorithm / online learning algorithm / machine learning system / straw-man algorithm / data mining / / SocialTag