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Ralf Herbrich
Researcher at Amazon.com
Publications - 130
Citations - 11816
Ralf Herbrich is an academic researcher from Amazon.com. The author has contributed to research in topics: Support vector machine & Relevance vector machine. The author has an hindex of 44, co-authored 129 publications receiving 11001 citations. Previous affiliations of Ralf Herbrich include Microsoft & University of London.
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Book ChapterDOI
A Generalized Representer Theorem
TL;DR: The result shows that a wide range of problems have optimal solutions that live in the finite dimensional span of the training examples mapped into feature space, thus enabling us to carry out kernel algorithms independent of the (potentially infinite) dimensionality of the feature space.
Proceedings ArticleDOI
Practical Lessons from Predicting Clicks on Ads at Facebook
Xinran He,Junfeng Pan,Ou Jin,Tianbing Xu,Bo Liu,Tao Xu,Yanxin Shi,Antoine Joseph Atallah,Ralf Herbrich,Stuart Michael Bowers,Joaquin Quinonero Candela +10 more
TL;DR: This paper introduces a model which combines decision trees with logistic regression, outperforming either of these methods on its own by over 3%, an improvement with significant impact to the overall system performance.
Proceedings Article
TrueSkill™: A Bayesian Skill Rating System
TL;DR: A new Bayesian skill rating system which can be viewed as a generalisation of the Elo system used in Chess, which tracks the uncertainty about player skills, explicitly models draws, can deal with any number of competing entities and can infer individual skills from team results.
Proceedings Article
Fast Sparse Gaussian Process Methods: The Informative Vector Machine
TL;DR: A framework for sparse Gaussian process (GP) methods which uses forward selection with criteria based on information-theoretic principles, which allows for Bayesian model selection and is less complex in implementation is presented.