Ralf Herbrich: Publications
PRINCIPAL DEVELOPMENT MANAGER
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Publications by Type
Journal Articles
2010
- Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, and Thore Graepel, Bayesian Knowledge Corroboration with Logical Rules and User Feedback, no. MSR-TR-2010-45, 6 May 2010
2009
- Peter A. Flach, John Guiver, Mohammed J. Zaki, Sebastian Spiegler, Bruno Golenia, Ralf Herbrich, Thore Graepel, and Simon Price, Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD'09, in SIGKDD Explorations, vol. 11, no. (2), Association for Computing Machinery, Inc., December 2009
2006
- Thore Graepel and Ralf Herbrich, Ranking and Matchmaking, in Game Developer Magazine, October 2006
- Ralf Herbrich and Thore Graepel, TrueSkill(TM): A Bayesian Skill Rating System, no. MSR-TR-2006-80, 2006
2005
- Ralf Herbrich, Thore Graepel, and Robert C. Williamson, The Structure of Version Space, in Innovations in Machine Learning: Theory and Applications, pp. 257-274, Springer-Verlag, 2005
- Thore Graepel, Ralf Herbrich, and John Shawe-Taylor, PAC-Bayesian compression bounds on the prediction error of learning algorithms for classification, in Machine Learning, vol. 59, pp. 55-76, Kluwer Academic , January 2005
- Arthur Gretton, Ralf Herbrich, Alexander Smola, Olivier Bousquet, and Bernhard Schölkopf, Kernel Methods for Measuring Independence, in Journal of Machine Learning Research, vol. 6, pp. 2075–2129, MIT Press, January 2005
- Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, and Dan Roth, Generalization Error Bounds for the Area Under the ROC curve, in Journal of Machine Learning Research, vol. 6, pp. 393-425, MIT Press, January 2005
2004
- Ralf Herbrich, Thore Graepel, and Robert C. Williamson, The Structure of Version Space, no. MSR-TR-2004-63, July 2004
2003
- Ralf Herbrich and Thore Graepel, Introduction to the Special Issue on Learning Theory, in Journal of Machine Learning Research, vol. 4, pp. 755–757, MIT Press, October 2003
2002
- Ralf Herbrich and Robert C. Williamson, Algorithmic Luckiness, in Journal of Machine Learning Research, vol. 3, pp. 175-212, MIT Press, September 2002
- Ralf Herbrich and Robert C. Williamson, Learning and Generalization: Theoretical Bounds, in Handbook of Brain Theory and Neural Networks (2nd edition), pp. 619–623, MIT Press, January 2002
- Ralf Herbrich and Thore Graepel, A PAC-Bayesian Margin Bound for Linear Classifiers, in IEEE Transactions on Information Theory, vol. 48, no. 12, pp. 3140–3150, January 2002
2001
- Ralf Herbrich, Thore Graepel, and Colin Campbell, Bayes Point Machines, in Journal of Machine Learning Research, vol. 1, pp. 245-279, MIT Press, January 2001
Conference Proceedings
2011
- Yan Xu, Xian Cao, Abigail Sellen, Ralf Herbrich, and Thore Graepel, Sociable killers: understanding social relationships in an online first-person shooter game, in CSCW '11 Proceedings of the ACM 2011 conference on Computer supported cooperative work , ACM, 2011
- Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David Stern, and Ralf Herbrich, Automated Feature Generation from Structured Knowledge, in the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), ACM, 2011
2010
- Tauhid R. Zaman, Ralf Herbrich, Jurgen Van Gael, and David Stern, Predicting Information Spreading in Twitter, in Computational Social Science and the Wisdom of Crowds Workshop (colocated with NIPS 2010), December 2010
- Ulrich Paquet, Jurgen Van Gael, David Stern, Gjergji Kasneci, Ralf Herbrich, and Thore Graepel, Vuvuzelas & Active Learning for Online Classification, in Computational Social Science and the Wisdom of Crowds Workshop (colocated with NIPS 2010), December 2010
- David Stern, Ralf Herbrich, Thore Graepel, Horst Samulowitz, Luca Pulina, and Armando Tacchella, Collaborative Expert Portfolio Management, in Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence AAAI-10 (to appear), July 2010
- Thore Graepel, Joaquin Quinonero Candela, Thomas Borchert, and Ralf Herbrich, Web-Scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine, in Proceedings of the 27th International Conference on Machine Learning ICML 2010, Invited Applications Track (unreviewed, to appear), June 2010
- Xinhua Zhang, Thore Graepel, and Ralf Herbrich, Bayesian Online Learning for Multi-Label and Multi-Variate Performance Measures, in Proceedings of the Thirteenth Conference on Artificial Intelligence and Statistics AISTATS 2010 (to appear), May 2010
- Yoram Bachrach and Ralf Herbrich, Fingerprinting Ratings For Collaborative Filtering — Theoretical and Empirical Analysis, in SPIRE 2010, 2010
- Gjergji Kasneci, Jurgen V. Gael, Ralf Herbrich, and Thore Graepel, Bayesian Knowledge Corroboration with Logical Rules and User Feedback, in ECML PKDD, Springer Verlag, 2010
2009
- Yoram Bachrach, Ralf Herbrich, and Ely Porat, Sketching Algorithms For Approximating Rank Correlations In Collaborative Filtering Systems, in SPIRE 2009, 2009
- David Stern, Ralf Herbrich, and Thore Graepel, Matchbox: Large Scale Bayesian Recommendations, in Proceedings of the 18th International World Wide Web Conference, 2009
- Yoram Bachrach, Ralf Herbrich, and Ely Porat, Sketching Algorithms For Approximating Rank Correlations In Collaborative Filtering Systems, in SPIRE 2009, 2009
- Anton Schwaighofer, Joaquin Quinonero Candela, Thomas Borchert, Thore Graepel, and Ralf Herbrich, Scalable Clustering and Keyword Suggestion for Online Advertisements, in Proceedings of ADKDD 2009: 3rd Annual International Workshop on Data Mining and Audience Intelligence for Advertising, Association for Computing Machinery, Inc., 2009
2008
- Pierre Dangauthier, Ralf Herbrich, Tom Minka, and Thore Graepel, TrueSkill Through Time: Revisiting the History of Chess, in Advances in Neural Information Processing Systems 20, MIT Press, 2008
2007
- Ralf Herbrich, Thore Graepel, and Brendan Murphy, Structure from Failure, in Second Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SysML07) , USENIX, June 2007
- Ralf Herbrich, Tom Minka, and Thore Graepel, TrueSkill(TM): A Bayesian Skill Rating System, in Advances in Neural Information Processing Systems 20, MIT Press, January 2007
- David Stern, Ralf Herbrich, and Thore Graepel, Learning To Solve Game Trees, in Proceedings of the International Conference of Machine Learning, January 2007
2006
- David Stern, Ralf Herbrich, and Thore Graepel, Bayesian Pattern Ranking for Move Prediction in the Game of Go, in Proceedings of the International Conference of Machine Learning, January 2006
2005
- Arthur Gretton, Alexander Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Jon Pauls, Bernhard Schölkopf, and Nikos Logothetis, Kernel Constrained Covariance for Dependence Measurement, in Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 2005
- Shyamsundar Rajaram, Thore Graepel, and Ralf Herbrich, Poisson-Networks: A Model for structured point processes, in Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 2005
2004
- Thore Graepel, Ralf Herbrich, Andriy Kharechko, and John Shawe-Taylor, Semidefinite Programming by Perceptron Learning, in Advances in Neural Information Processing Systems 16, MIT Press, January 2004
- Shivani Agarwal, Thore Graepel, Ralf Herbrich, and Dan Roth, A Large Deviation Bound for the Area Under the ROC Curve, in Advances in Neural Information Processing Systems 17, MIT Press, January 2004
- Thore Graepel, Ralf Herbrich, and Julian Gold, Learning to Fight, in Proceedings of the International Conference on Computer Games: Artificial Intelligence, Design and Education, January 2004
- Thore Graepel and Ralf Herbrich, Invariant Pattern Recognition by Semidefinite Programming Machines, in Advances in Neural Information Processing Systems 16, MIT Press, January 2004
2003
- Arthur Gretton, Ralf Herbrich, and Alexander Smola, The Kernel Mutual Information, in Proceedings of IEEE Internaltional Conference on Acoustics, Speech and Signal Processing, April 2003
- Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, and Robert C. Williamson, Online Bayes Point Machines, in Proceedings of the Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer-Verlag, January 2003
- Neil Lawrence, Matthias Seeger, and Ralf Herbrich, Fast Sparse Gaussian Process Methods: The Informative Vector Machine, in Advances in Neural Information Processing Systems 15, MIT Press, January 2003
2002
- Yaoyong Li, Hugo Zaragoza, Ralf Herbrich, John Shawe-Taylor, and Jaz Kandola, The Perceptron Algorithm with Uneven Margins, in Proceedings of the International Conference of Machine Learning, January 2002
- Ralf Herbrich and Robert C. Williamson, Algorithmic Luckiness, in Advances in Neural Information Processing Systems 14, MIT Press, 2002
- Stephen E. Robertson, Stephen Walker, Hugo Zaragoza, and Ralf Herbrich, Microsoft Cambridge at TREC 2002: Filtering Task, in Proceedings of the Ninth Text Retrieval Conference (TREC-9), January 2002
- Simon Hill, Hugo Zaragoza, Ralf Herbrich, and Peter J. Rayner, Average Precision and the Problem of Generalisation, in Proceedings of the ACM SIGIR Workshop on Mathematical and Formal Methods in Information Retrieval, January 2002
2001
- Bernhard Schölkopf, Ralf Herbrich, and Alexander J. Smola, A Generalized Representer Theorem, in Proceedings of the Fourteenth Annual Conference on Computational Learning Theory, January 2001
- Arthur Gretton, Arnaud Doucet, Ralf Herbrich, Peter J. W. Rayner, and Bernhard Schölkopf, Support Vector Regression for Black-Box System Identification, in 11th IEEE Workshop on Statistical Signal Processing, January 2001
Technical Reports
2010
- Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, and Thore Graepel, Bayesian Knowledge Corroboration with Logical Rules and User Feedback, no. MSR-TR-2010-45, 6 May 2010
2006
- Ralf Herbrich and Thore Graepel, TrueSkill(TM): A Bayesian Skill Rating System, no. MSR-TR-2006-80, 2006
2004
- Ralf Herbrich, Thore Graepel, and Robert C. Williamson, The Structure of Version Space, no. MSR-TR-2004-63, July 2004
Miscellaneous
2010
- Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, and Thore Graepel, Bayesian Knowledge Corroboration with Logical Rules and User Feedback, no. MSR-TR-2010-45, 6 May 2010
2006
- Ralf Herbrich and Thore Graepel, TrueSkill(TM): A Bayesian Skill Rating System, no. MSR-TR-2006-80, 2006
2005
- Ralf Herbrich, Minimising the Kullback-Leibler Divergence, August 2005
- Ralf Herbrich, On Gaussian Expectation Propagation, July 2005
2004
- Ralf Herbrich, Thore Graepel, and Robert C. Williamson, The Structure of Version Space, no. MSR-TR-2004-63, July 2004
2003
- Ralf Herbrich and Thomas Minka, A Multiple Testing Problem by Jaynes, January 2003
