| A generalized representer theorem B Schölkopf, R Herbrich, AJ Smola International conference on computational learning theory, 416-426, 2001 | 1576 | 2001 |
| Large margin rank boundaries for ordinal regression R Herbrich, T Graepel, K Obermayer Advances in large margin classifiers 88 (2), 115-132, 2000 | 1335 | 2000 |
| Learning kernel classifiers: theory and algorithms R Herbrich MIT press, 2001 | 847 | 2001 |
| TrueSkill™: a Bayesian skill rating system R Herbrich, T Minka, T Graepel Proceedings of the 19th international conference on neural information …, 2006 | 731 | 2006 |
| Fast sparse Gaussian process methods: The informative vector machine N Lawrence, M Seeger, R Herbrich Proceedings of the 16th annual conference on neural information processing …, 2003 | 629 | 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 ICML, 2010 | 548 | 2010 |
| 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 | 523 | 2014 |
| Support vector learning for ordinal regression R Herbrich, T Graepel, K Obermayer IET Digital Library, 1999 | 499 | 1999 |
| Assessing Approximate Inference for Binary Gaussian Process Classification. M Kuss, CE Rasmussen, R Herbrich Journal of machine learning research 6 (10), 2005 | 358 | 2005 |
| Kernel methods for measuring independence A Gretton, R Herbrich, A Smola, O Bousquet, B Schölkopf MIT Press, 2005 | 328 | 2005 |
| 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 | 315 | 2009 |
| Bayes point machines R Herbrich, T Graepel, C Campbell Journal of Machine Learning Research 1 (4), 245-278, 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 | 275 | 2010 |
| Generalization Bounds for the Area Under the ROC Curve. S Agarwal, T Graepel, R Herbrich, S Har-Peled, D Roth, MI Jordan Journal of Machine Learning Research 6 (4), 2005 | 253 | 2005 |
| Classification on pairwise proximity data T Graepel, R Herbrich, P Bollmann-Sdorra, K Obermayer Advances in neural information processing systems, 438-444, 1999 | 203 | 1999 |
| The perceptron algorithm with uneven margins Y Li, H Zaragoza, R Herbrich, J Shawe-Taylor, J Kandola ICML 2, 379-386, 2002 | 179 | 2002 |
| Stereo video for gaming TKH Graepel, A Blake, R Herbrich US Patent 8,094,928, 2012 | 157 | 2012 |
| Trueskill through time: Revisiting the history of chess P Dangauthier, R Herbrich, T Minka, T Graepel Advances in neural information processing systems 20, 337-344, 2007 | 128 | 2007 |
| Reputation system R Herbrich, T Graepel, D Shaw US Patent 8,374,973, 2013 | 127 | 2013 |
| 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 | 125 | 1998 |
Thore GraepelResearch Scientist, Google DeepMind, and Professor of Computer Science, UCLVerified email at ucl.ac.uk
