Thore Graepel

	2012
53		Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel: Kernel Topic Models. Journal of Machine Learning Research - Proceedings Track 22: 511-519 (2012)
	2011
52		Yoram Bachrach, Pushmeet Kohli, Thore Graepel: Rip-off: playing the cooperative negotiation game. AAMAS 2011: 1179-1180
51		Gjergji Kasneci, Jurgen Van Gael, Thore Graepel: DBrev: Dreaming of a Database Revolution. CIDR 2011: 191-194
50		Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich: Automated feature generation from structured knowledge. CIKM 2011: 1395-1404
49		Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi: Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model. CIKM 2011: 1977-1980
48		Yan Xu, Xiang Cao, Abigail Sellen, Ralf Herbrich, Thore Graepel: Sociable killers: understanding social relationships in an online first-person shooter game. CSCW 2011: 197-206
47		Gjergji Kasneci, Jurgen Van Gael, David H. Stern, Thore Graepel: CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise. WSDM 2011: 465-474
46		Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel: Kernel Topic Models CoRR abs/1110.4713: (2011)
	2010
45		David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella: Collaborative Expert Portfolio Management. AAAI 2010
44		Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel: Bayesian Knowledge Corroboration with Logical Rules and User Feedback. ECML/PKDD (2) 2010: 1-18
43		Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich: Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. ICML 2010: 13-20
42		Philipp Hennig, David H. Stern, Thore Graepel: Coherent Inference on Optimal Play in Game Trees. Journal of Machine Learning Research - Proceedings Track 9: 326-333 (2010)
41		Xinhua Zhang, Thore Graepel, Ralf Herbrich: Bayesian Online Learning for Multi-label and Multi-variate Performance Measures. Journal of Machine Learning Research - Proceedings Track 9: 956-963 (2010)
	2009
40		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
39		David H. Stern, Ralf Herbrich, Thore Graepel: Matchbox: large scale online bayesian recommendations. WWW 2009: 111-120
38		Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki: Novel tools to streamline the conference review process: experiences from SIGKDD'09. SIGKDD Explorations 11(2): 63-67 (2009)
	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	Yoram Bachrach	[52]
3	Peter Bollmann-Sdorra (Peter Bollmann)	[4]
4	Thomas Borchert	[40] [43]
5	Michael H. Bowling	[32]
6	Matthias Burger	[1] [2] [3]
7	Colin Campbell	[12] [16]
8	Nicola Cancedda	[19]
9	Joaquin Quiñonero Candela	[40] [43]
10	Xiang Cao	[48]
11	Nicolò Cesa-Bianchi	[19]
12	Weiwei Cheng	[50]
13	Alex Conconi	[19]
14	Pierre Dangauthier	[35]
15	Peter A. Flach	[38]
16	Johannes Fürnkranz	[32]
17	Jurgen Van Gael	[44] [47] [51]
18	Claudio Gentile	[19]
19	Bruno Golénia	[38]
20	Mike Goutrié	[17]
21	Cyril Goutte	[19]
22	John Guiver	[38]
23	Shengbo Guo	[49]
24	Sariel Har-Peled	[31]
25	Philipp Hennig	[42] [46] [53]
26	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] [40] [41] [43] [44] [45] [46] [48] [50] [53]
27	Jaz S. Kandola	[27]
28	Sarvnaz Karimi	[49]
29	Gjergji Kasneci	[44] [47] [50] [51]
30	Sadegh Kharazmi	[49]
31	Andriy Kharechko	[24]
32	Pushmeet Kohli	[52]
33	Marco Krüger	[17]
34	Yaoyong Li	[19]
35	David J. C. MacKay	[28]
36	Thomas P. Minka (Tom Minka)	[33] [35]
37	Ron Musick	[32]
38	Klaus Obermayer	[1] [2] [3] [4] [5] [6] [11] [13]
39	Simon Price	[38]
40	Luca Pulina	[45]
41	Jean-Michel Renders	[19]
42	Dan Roth	[29] [31]
43	Horst Samulowitz	[45]
44	Scott Sanner	[49]
45	Nicol N. Schraudolph	[21] [22]
46	Anton Schwaighofer	[40]
47	Abigail Sellen	[48]
48	Sambu Seo	[11] [13]
49	John Shawe-Taylor	[14] [15] [19] [24] [27] [30]
50	Sebastian Spiegler	[38]
51	David H. Stern	[28] [34] [36] [39] [42] [45] [46] [47] [50] [53]
52	Armando Tacchella	[45]
53	Alexei Vinokourov	[19]
54	Marko Wallat	[11] [13]
55	Robert C. Williamson	[10]
56	Yan Xu	[48]
57	Mohammed Javeed Zaki (Mohammed J. Zaki)	[38]
58	Xinhua Zhang	[41]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page