Thore Graepel
Thore Graepel
Research Scientist, Google DeepMind, and Professor of Computer Science, UCL
Verified email at ucl.ac.uk
TitleCited byYear
Mastering the game of Go with deep neural networks and tree search
D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ...
nature 529 (7587), 484, 2016
67122016
Mastering the game of go without human knowledge
D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ...
Nature 550 (7676), 354-359, 2017
28852017
Private traits and attributes are predictable from digital records of human behavior
M Kosinski, D Stillwell, T Graepel
Proceedings of the national academy of sciences 110 (15), 5802-5805, 2013
18572013
Large margin rank boundaries for ordinal regression
R Herbrich
Advances in large margin classifiers, 115-132, 2000
12472000
TrueSkill™: a Bayesian skill rating system
R Herbrich, T Minka, T Graepel
Advances in neural information processing systems, 569-576, 2007
6072007
Mastering chess and shogi by self-play with a general reinforcement learning algorithm
D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...
arXiv preprint arXiv:1712.01815, 2017
5182017
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
Omnipress 27, 13-20, 2010
4612010
Support vector learning for ordinal regression
R Herbrich, T Graepel, K Obermayer
IET Digital Library, 1999
4431999
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...
Science 362 (6419), 1140-1144, 2018
4052018
Personality and patterns of Facebook usage
Y Bachrach, M Kosinski, T Graepel, P Kohli, D Stillwell
Proceedings of the 4th annual ACM web science conference, 24-32, 2012
3942012
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
2982009
ML confidential: Machine learning on encrypted data
T Graepel, K Lauter, M Naehrig
International Conference on Information Security and Cryptology, 1-21, 2012
2962012
Bayes point machines
R Herbrich, T Graepel, C Campbell
Journal of Machine Learning Research 1 (Aug), 245-279, 2001
2822001
Generalization bounds for the area under the ROC curve
S Agarwal, T Graepel, R Herbrich, S Har-Peled, D Roth
Journal of Machine Learning Research 6 (Apr), 393-425, 2005
2302005
Multi-agent reinforcement learning in sequential social dilemmas
JZ Leibo, V Zambaldi, M Lanctot, J Marecki, T Graepel
arXiv preprint arXiv:1702.03037, 2017
2092017
Manifestations of user personality in website choice and behaviour on online social networks
M Kosinski, Y Bachrach, P Kohli, D Stillwell, T Graepel
Machine learning 95 (3), 357-380, 2014
1972014
How to grade a test without knowing the answers---a Bayesian graphical model for adaptive crowdsourcing and aptitude testing
Y Bachrach, T Graepel, T Minka, J Guiver
arXiv preprint arXiv:1206.6386, 2012
1912012
Classification on pairwise proximity data
T Graepel, R Herbrich, P Bollmann-Sdorra, K Obermayer
Advances in neural information processing systems, 438-444, 1999
1861999
Gaussian process regression: Active data selection and test point rejection
S Seo, M Wallat, T Graepel, K Obermayer
Mustererkennung 2000, 27-34, 2000
1682000
Self-organizing maps: generalizations and new optimization techniques
T Graepel, M Burger, K Obermayer
Neurocomputing 21 (1-3), 173-190, 1998
1651998
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Articles 1–20