Thore Graepel

	2009
39		Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich: Scalable clustering and keyword suggestion for online advertisements. KDD Workshop on Data Mining and Audience Intelligence for Advertising 2009: 27-36
38		David H. Stern, Ralf Herbrich, Thore Graepel: Matchbox: large scale online bayesian recommendations. WWW 2009: 111-120
	2008
37		Thore Graepel, Ralf Herbrich: Large scale data analysis and modelling in online services and advertising. KDD 2008: 2
	2007
36		David H. Stern, Ralf Herbrich, Thore Graepel: Learning to solve game trees. ICML 2007: 839-846
35		Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel: TrueSkill Through Time: Revisiting the History of Chess. NIPS 2007
	2006
34		David H. Stern, Ralf Herbrich, Thore Graepel: Bayesian pattern ranking for move prediction in the game of Go. ICML 2006: 873-880
33		Ralf Herbrich, Tom Minka, Thore Graepel: TrueSkillTM: A Bayesian Skill Rating System. NIPS 2006: 569-576
32		Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick: Machine learning and games. Machine Learning 63(3): 211-215 (2006)
	2005
31		Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth: Generalization Bounds for the Area Under the ROC Curve. Journal of Machine Learning Research 6: 393-425 (2005)
30		Thore Graepel, Ralf Herbrich, John Shawe-Taylor: PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. Machine Learning 59(1-2): 55-76 (2005)
	2004
29		Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth: A Large Deviation Bound for the Area Under the ROC Curve. NIPS 2004
28		David H. Stern, Thore Graepel, David J. C. MacKay: Modelling Uncertainty in the Game of Go. NIPS 2004
	2003
27		Jaz S. Kandola, Thore Graepel, John Shawe-Taylor: Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming. COLT 2003: 288-302
26		Thore Graepel: Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations. ICML 2003: 234-241
25		Thore Graepel, Ralf Herbrich: Invariant Pattern Recognition by Semi-Definite Programming Machines. NIPS 2003
24		Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor: Semi-Definite Programming by Perceptron Learning. NIPS 2003
23		Ralf Herbrich, Thore Graepel: Introduction to the Special Issue on Learning Theory. Journal of Machine Learning Research 4: 755-757 (2003)
	2002
22		Nicol N. Schraudolph, Thore Graepel: Conjugate Directions for Stochastic Gradient Descent. ICANN 2002: 1351-1358
21		Thore Graepel, Nicol N. Schraudolph: Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. ICANN 2002: 450-455
20		Thore Graepel: Kernel Matrix Completion by Semidefinite Programming. ICANN 2002: 694-699
19		Nicola Cancedda, Cyril Goutte, Jean-Michel Renders, Nicolò Cesa-Bianchi, Alex Conconi, Yaoyong Li, John Shawe-Taylor, Alexei Vinokourov, Thore Graepel, Claudio Gentile: Kernel Methods for Document Filtering. TREC 2002
18		Ralf Herbrich, Thore Graepel: A PAC-Bayesian margin bound for linear classifiers. IEEE Transactions on Information Theory 48(12): 3140-3150 (2002)
	2001
17		Thore Graepel, Mike Goutrié, Marco Krüger, Ralf Herbrich: Learning on Graphs in the Game of Go. ICANN 2001: 347-352
16		Ralf Herbrich, Thore Graepel, Colin Campbell: Bayes Point Machines. Journal of Machine Learning Research 1: 245-279 (2001)
	2000
15		Thore Graepel, Ralf Herbrich, John Shawe-Taylor: Generalisation Error Bounds for Sparse Linear Classifiers. COLT 2000: 298-303
14		Ralf Herbrich, Thore Graepel, John Shawe-Taylor: Sparsity vs. Large Margins for Linear Classifiers. COLT 2000: 304-308
13		Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer: Gaussian Process Regression: Active Data Selection and Test Point Rejection. DAGM-Symposium 2000: 27-34
12		Ralf Herbrich, Thore Graepel, Colin Campbell: Robust Bayes Point Machines. ESANN 2000: 49-54
11		Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer: Gaussian Process Regression: Active Data Selection and Test Point Rejection. IJCNN (3) 2000: 241-246
10		Thore Graepel, Ralf Herbrich, Robert C. Williamson: From Margin to Sparsity. NIPS 2000: 210-216
9		Ralf Herbrich, Thore Graepel: A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work. NIPS 2000: 224-230
8		Thore Graepel, Ralf Herbrich: The Kernel Gibbs Sampler. NIPS 2000: 514-520
7		Ralf Herbrich, Thore Graepel: Large Scale Bayes Point Machines. NIPS 2000: 528-534
	1999
6		Thore Graepel, Ralf Herbrich, Klaus Obermayer: Bayesian Transduction. NIPS 1999: 456-462
5		Thore Graepel, Klaus Obermayer: A Stochastic Self-Organizing Map for Proximity Data. Neural Computation 11(1): 139-155 (1999)
	1998
4		Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer: Classification on Pairwise Proximity Data. NIPS 1998: 438-444
3		Thore Graepel, Matthias Burger, Klaus Obermayer: Self-organizing maps: Generalizations and new optimization techniques. Neurocomputing 21(1-3): 173-190 (1998)
	1997
2		Matthias Burger, Thore Graepel, Klaus Obermayer: Phase Transitions in Soft Topographic Vector Quantization. ICANN 1997: 619-624
1		Matthias Burger, Thore Graepel, Klaus Obermayer: An Annealed Self-Organizing Map for Source Channel Coding. NIPS 1997

Coauthor Index

1	Shivani Agarwal	[29] [31]
2	Peter Bollmann-Sdorra (Peter Bollmann)	[4]
3	Thomas Borchert	[39]
4	Michael H. Bowling	[32]
5	Matthias Burger	[1] [2] [3]
6	Colin Campbell	[12] [16]
7	Nicola Cancedda	[19]
8	Joaquin Quiñonero Candela	[39]
9	Nicolò Cesa-Bianchi	[19]
10	Alex Conconi	[19]
11	Pierre Dangauthier	[35]
12	Johannes Fürnkranz	[32]
13	Claudio Gentile	[19]
14	Mike Goutrié	[17]
15	Cyril Goutte	[19]
16	Sariel Har-Peled	[31]
17	Ralf Herbrich	[4] [6] [7] [8] [9] [10] [12] [14] [15] [16] [17] [18] [23] [24] [25] [29] [30] [31] [33] [34] [35] [36] [37] [38] [39]
18	Jaz S. Kandola	[27]
19	Andriy Kharechko	[24]
20	Marco Krüger	[17]
21	Yaoyong Li	[19]
22	David J. C. MacKay	[28]
23	Thomas P. Minka (Tom Minka)	[33] [35]
24	Ron Musick	[32]
25	Klaus Obermayer	[1] [2] [3] [4] [5] [6] [11] [13]
26	Jean-Michel Renders	[19]
27	Dan Roth	[29] [31]
28	Nicol N. Schraudolph	[21] [22]
29	Anton Schwaighofer	[39]
30	Sambu Seo	[11] [13]
31	John Shawe-Taylor	[14] [15] [19] [24] [27] [30]
32	David H. Stern	[28] [34] [36] [38]
33	Alexei Vinokourov	[19]
34	Marko Wallat	[11] [13]
35	Robert C. Williamson	[10]

Colors in the list of coauthors