| A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001 | 1486 | 2001 |
| Large margin rank boundaries for ordinal regression R Herbrich Advances in large margin classifiers, 115-132, 2000 | 1299 | 2000 |
| Learning kernel classifiers: theory and algorithms R Herbrich MIT press, 2001 | 835 | 2001 |
| TrueSkill™: a Bayesian skill rating system R Herbrich, T Minka, T Graepel Advances in neural information processing systems, 569-576, 2007 | 691 | 2007 |
| Fast sparse Gaussian process methods: The informative vector machine R Herbrich, ND Lawrence, M Seeger Advances in neural information processing systems, 625-632, 2003 | 593 | 2003 |
| Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft's bing search engine T Graepel, JQ Candela, T Borchert, R Herbrich Omnipress 27, 13-20, 2010 | 521 | 2010 |
| Support vector learning for ordinal regression R Herbrich, T Graepel, K Obermayer IET Digital Library, 1999 | 472 | 1999 |
| Practical lessons from predicting clicks on ads at facebook X He, J Pan, O Jin, T Xu, B Liu, T Xu, Y Shi, A Atallah, R Herbrich, ... Proceedings of the Eighth International Workshop on Data Mining for Online …, 2014 | 466 | 2014 |
| Matchbox: large scale online bayesian recommendations DH Stern, R Herbrich, T Graepel Proceedings of the 18th international conference on World wide web, 111-120, 2009 | 308 | 2009 |
| Kernel methods for measuring independence A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf Journal of Machine Learning Research 6 (Dec), 2075-2129, 2005 | 308 | 2005 |
| Bayes point machines R Herbrich, T Graepel, C Campbell Journal of Machine Learning Research 1 (Aug), 245-279, 2001 | 289 | 2001 |
| Predicting information spreading in twitter TR Zaman, R Herbrich, J Van Gael, D Stern Workshop on computational social science and the wisdom of crowds, nips 104 …, 2010 | 264 | 2010 |
| Generalization bounds for the area under the ROC curve S Agarwal, T Graepel, R Herbrich, S Har-Peled, D Roth Journal of Machine Learning Research 6 (Apr), 393-425, 2005 | 234 | 2005 |
| Classification on pairwise proximity data T Graepel, R Herbrich, P Bollmann-Sdorra, K Obermayer Advances in neural information processing systems, 438-444, 1999 | 194 | 1999 |
| The perceptron algorithm with uneven margins Y Li, H Zaragoza, R Herbrich, J Shawe-Taylor, J Kandola ICML 2, 379-386, 2002 | 173 | 2002 |
| Stereo video for gaming TKH Graepel, A Blake, R Herbrich US Patent 8,094,928, 2012 | 155 | 2012 |
| Trueskill through time: Revisiting the history of chess P Dangauthier, R Herbrich, T Minka, T Graepel Advances in neural information processing systems, 337-344, 2008 | 126 | 2008 |
| Learning to fight T Graepel, R Herbrich, J Gold Proceedings of the International Conference on Computer Games: Artificial …, 2004 | 121 | 2004 |
| Learning preference relations for information retrieval R Herbrich, T Graepel, P Bollmann-Sdorra, K Obermayer ICML-98 Workshop: text categorization and machine learning, 80-84, 1998 | 120 | 1998 |
| Reputation system R Herbrich, T Graepel, D Shaw US Patent 8,374,973, 2013 | 116 | 2013 |
Thore GraepelResearch Scientist, Google DeepMind, and Professor of Computer Science, UCLVerified email at ucl.ac.uk
