Thore Graepel

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2011
51Rip-off: playing the cooperative negotiation game. Yoram Bachrach, Pushmeet Kohli, Thore Graepel. AAMAS 2011, 1179-1180. Web SearchBibTeXDownload
50DBrev: Dreaming of a Database Revolution. Gjergji Kasneci, Jurgen Van Gael, Thore Graepel. CIDR 2011, 191-194. Web SearchBibTeXDownload
49Automated feature generation from structured knowledge. Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich. CIKM 2011, 1395-1404. Web SearchBibTeXDownload
48Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model. Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi. CIKM 2011, 1977-1980. Web SearchBibTeXDownload
47Kernel Topic Models. Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel. CoRR (abs/1110.4713) (2011). Web SearchBibTeXDownload
46Sociable killers: understanding social relationships in an online first-person shooter game. Yan Xu, Xiang Cao, Abigail Sellen, Ralf Herbrich, Thore Graepel. CSCW 2011, 197-206. Web SearchBibTeXDownload
45CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise. Gjergji Kasneci, Jurgen Van Gael, David H. Stern, Thore Graepel. WSDM 2011, 465-474. Web SearchBibTeXDownload
2010
44Collaborative Expert Portfolio Management. David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella. AAAI 2010. Web SearchBibTeXDownload
43Bayesian Knowledge Corroboration with Logical Rules and User Feedback. Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel. ECML/PKDD (2) 2010, 1-18. Web SearchBibTeXDownload
42Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich. ICML 2010, 13-20. Web SearchBibTeXDownload
41Bayesian Online Learning for Multi-label and Multi-variate Performance Measures. Xinhua Zhang, Thore Graepel, Ralf Herbrich. Journal of Machine Learning Research - Proceedings Track (9): 956-963 (2010). Web SearchBibTeXDownload
40Coherent Inference on Optimal Play in Game Trees. Philipp Hennig, David H. Stern, Thore Graepel. Journal of Machine Learning Research - Proceedings Track (9): 326-333 (2010). Web SearchBibTeXDownload
2009
39Scalable clustering and keyword suggestion for online advertisements. Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich. KDD Workshop on Data Mining and Audience Intelligence for Advertising 2009, 27-36. Web SearchBibTeXDownload
38Novel tools to streamline the conference review process: experiences from SIGKDD'09. Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki. SIGKDD Explorations (11): 63-67 (2009). Web SearchBibTeXDownload
37Matchbox: large scale online bayesian recommendations. David H. Stern, Ralf Herbrich, Thore Graepel. WWW 2009, 111-120. Web SearchBibTeXDownload
2008
36Large scale data analysis and modelling in online services and advertising. Thore Graepel, Ralf Herbrich. KDD 2008, 2. Web SearchBibTeXDownload
2007
35Learning to solve game trees. David H. Stern, Ralf Herbrich, Thore Graepel. ICML 2007, 839-846. Web SearchBibTeXDownload
34TrueSkill Through Time: Revisiting the History of Chess. Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel. NIPS 2007. Web SearchBibTeXDownload
2006
33Bayesian pattern ranking for move prediction in the game of Go. David H. Stern, Ralf Herbrich, Thore Graepel. ICML 2006, 873-880. Web SearchBibTeXDownload
32Machine learning and games. Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick. Machine Learning (63): 211-215 (2006). Web SearchBibTeXDownload
31TrueSkillTM: A Bayesian Skill Rating System. Ralf Herbrich, Tom Minka, Thore Graepel. NIPS 2006, 569-576. Web SearchBibTeXDownload
2005
30Generalization Bounds for the Area Under the ROC Curve. Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth. Journal of Machine Learning Research (6): 393-425 (2005). Web SearchBibTeXDownload
29PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. Thore Graepel, Ralf Herbrich, John Shawe-Taylor. Machine Learning (59): 55-76 (2005). Web SearchBibTeXDownload
2004
28Modelling Uncertainty in the Game of Go. David H. Stern, Thore Graepel, David J. C. MacKay. NIPS 2004. Web SearchBibTeXDownload
27A Large Deviation Bound for the Area Under the ROC Curve. Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth. NIPS 2004. Web SearchBibTeXDownload
2003
26Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming. Jaz S. Kandola, Thore Graepel, John Shawe-Taylor. COLT 2003, 288-302. Web SearchBibTeXDownload
25Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations. Thore Graepel. ICML 2003, 234-241. Web SearchBibTeX
24Introduction to the Special Issue on Learning Theory. Ralf Herbrich, Thore Graepel. Journal of Machine Learning Research (4): 755-757 (2003). Web SearchBibTeXDownload
23Invariant Pattern Recognition by Semi-Definite Programming Machines. Thore Graepel, Ralf Herbrich. NIPS 2003. Web SearchBibTeXDownload
22Semi-Definite Programming by Perceptron Learning. Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor. NIPS 2003. Web SearchBibTeXDownload
2002
21Kernel Matrix Completion by Semidefinite Programming. Thore Graepel. ICANN 2002, 694-699. Web SearchBibTeXDownload
20Conjugate Directions for Stochastic Gradient Descent. Nicol N. Schraudolph, Thore Graepel. ICANN 2002, 1351-1358. Web SearchBibTeXDownload
19Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. Thore Graepel, Nicol N. Schraudolph. ICANN 2002, 450-455. Web SearchBibTeXDownload
18A PAC-Bayesian margin bound for linear classifiers. Ralf Herbrich, Thore Graepel. IEEE Transactions on Information Theory (48): 3140-3150 (2002). Web SearchBibTeXDownload
17Kernel Methods for Document Filtering. Nicola Cancedda, Cyril Goutte, Jean-Michel Renders, Nicolò Cesa-Bianchi, Alex Conconi, Yaoyong Li, John Shawe-Taylor, Alexei Vinokourov, Thore Graepel, Claudio Gentile. TREC 2002. Web SearchBibTeXDownload
2001
16Learning on Graphs in the Game of Go. Thore Graepel, Mike Goutrié, Marco Krüger, Ralf Herbrich. ICANN 2001, 347-352. Web SearchBibTeXDownload
15Bayes Point Machines. Ralf Herbrich, Thore Graepel, Colin Campbell. Journal of Machine Learning Research (1): 245-279 (2001). Web SearchBibTeXDownload
2000
14Generalisation Error Bounds for Sparse Linear Classifiers. Thore Graepel, Ralf Herbrich, John Shawe-Taylor. COLT 2000, 298-303. Web SearchBibTeX
13Sparsity vs. Large Margins for Linear Classifiers. Ralf Herbrich, Thore Graepel, John Shawe-Taylor. COLT 2000, 304-308. Web SearchBibTeX
12Gaussian Process Regression: Active Data Selection and Test Point Rejection. Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer. DAGM-Symposium 2000, 27-34. Web SearchBibTeX
11Robust Bayes Point Machines. Ralf Herbrich, Thore Graepel, Colin Campbell. ESANN 2000, 49-54. Web SearchBibTeXDownload
10The Kernel Gibbs Sampler. Thore Graepel, Ralf Herbrich. NIPS 2000, 514-520. Web SearchBibTeX
9A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work. Ralf Herbrich, Thore Graepel. NIPS 2000, 224-230. Web SearchBibTeX
8Large Scale Bayes Point Machines. Ralf Herbrich, Thore Graepel. NIPS 2000, 528-534. Web SearchBibTeX
7From Margin to Sparsity. Thore Graepel, Ralf Herbrich, Robert C. Williamson. NIPS 2000, 210-216. Web SearchBibTeX
1999
6A Stochastic Self-Organizing Map for Proximity Data. Thore Graepel, Klaus Obermayer. Neural Computation (11): 139-155 (1999). Web SearchBibTeXDownload
5Bayesian Transduction. Thore Graepel, Ralf Herbrich, Klaus Obermayer. NIPS 1999, 456-462. Web SearchBibTeXDownload
1998
4Self-organizing maps: Generalizations and new optimization techniques. Thore Graepel, Matthias Burger, Klaus Obermayer. Neurocomputing (21): 173-190 (1998). Web SearchBibTeXDownload
3Classification on Pairwise Proximity Data. Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer. NIPS 1998, 438-444. Web SearchBibTeXDownload
1997
2Phase Transitions in Soft Topographic Vector Quantization. Matthias Burger, Thore Graepel, Klaus Obermayer. ICANN 1997, 619-624. Web SearchBibTeXDownload
1An Annealed Self-Organizing Map for Source Channel Coding. Matthias Burger, Thore Graepel, Klaus Obermayer. NIPS 1997. Web SearchBibTeX
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References
1. ^ KDD 2009: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ KDD 2008: Sessions - Retrieved 2009-11-21 - details
3. ^ ICML-2003 Committees - Retrieved 2009-11-21 - details
4. ^ icml2008@helsinki.fi - Retrieved 2011-06-04 - details
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