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All publications by Thore Graepel
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How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka and John Guiver
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Kernel Topic Models
Philipp Hennig, David H. Stern, Ralf Herbrich and Thore Graepel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine
Thore Graepel, Joaquin Q. Candela, Thomas Borchert and Ralf Herbrich
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Xinhua Zhang, Thore Graepel and Ralf Herbrich
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Coherent Inference on Optimal Play in Game Trees
Philipp Hennig, David H. Stern and Thore Graepel
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Learning to solve game trees
David H. Stern, Ralf Herbrich and Thore Graepel
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


TrueSkill Through Time: Revisiting the History of Chess
Pierre Dangauthier, Ralf Herbrich, Tom Minka and Thore Graepel
Advances in Neural Information Processing Systems 20, 2007


Bayesian pattern ranking for move prediction in the game of Go
David H. Stern, Ralf Herbrich and Thore Graepel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


TrueSkillâ„¢: A Bayesian Skill Rating System
Ralf Herbrich, Tom Minka and Thore Graepel
Advances in Neural Information Processing Systems 19, 2006


Generalization Bounds for the Area Under the ROC Curve
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-peled and Dan Roth
Journal of Machine Learning Research, 2005


Modelling Uncertainty in the Game of Go
David H. Stern, Thore Graepel and David Mackay
Advances in Neural Information Processing Systems 17, 2004


A Large Deviation Bound for the Area Under the ROC Curve
Shivani Agarwal, Thore Graepel, Ralf Herbrich and Dan Roth
Advances in Neural Information Processing Systems 17, 2004


Semi-Definite Programming by Perceptron Learning
Thore Graepel, Ralf Herbrich, Andriy Kharechko and John S. Shawe-taylor
Advances in Neural Information Processing Systems 16, 2003


Invariant Pattern Recognition by Semi-Definite Programming Machines
Thore Graepel and Ralf Herbrich
Advances in Neural Information Processing Systems 16, 2003


Introduction to the Special Issue on Learning Theory
Ralf Herbrich and Thore Graepel
Journal of Machine Learning Research, 2003


Bayes Point Machines
Ralf Herbrich, Thore Graepel and Colin Campbell
Journal of Machine Learning Research, 2001