Thore Graepel
Thore Graepel
Research Scientist, Google DeepMind, and Professor of Computer Science, UCL
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
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), 484-489, 2016
95822016
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
50072017
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
24192013
Large margin rank boundaries for ordinal regression
R Herbrich, T Graepel, K Obermayer
Advances in large margin classifiers 88 (2), 115-132, 2000
13342000
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
11922018
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
9212017
TrueSkill™: a Bayesian skill rating system
R Herbrich, T Minka, T Graepel
Proceedings of the 19th international conference on neural information …, 2006
7322006
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
ICML, 2010
5462010
Support vector learning for ordinal regression
R Herbrich, T Graepel, K Obermayer
IET Digital Library, 1999
4971999
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
4912012
ML confidential: Machine learning on encrypted data
T Graepel, K Lauter, M Naehrig
International Conference on Information Security and Cryptology, 1-21, 2012
4052012
Multi-agent reinforcement learning in sequential social dilemmas
JZ Leibo, V Zambaldi, M Lanctot, J Marecki, T Graepel
arXiv preprint arXiv:1702.03037, 2017
3482017
Human-level performance in 3D multiplayer games with population-based reinforcement learning
M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ...
Science 364 (6443), 859-865, 2019
3322019
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
3152009
Bayes point machines
R Herbrich, T Graepel, C Campbell
Journal of Machine Learning Research 1 (4), 245-278, 2001
2892001
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
2802014
A unified game-theoretic approach to multiagent reinforcement learning
M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ...
arXiv preprint arXiv:1711.00832, 2017
2672017
Generalization Bounds for the Area Under the ROC Curve.
S Agarwal, T Graepel, R Herbrich, S Har-Peled, D Roth, MI Jordan
Journal of Machine Learning Research 6 (4), 2005
2522005
Value-decomposition networks for cooperative multi-agent learning
P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ...
arXiv preprint arXiv:1706.05296, 2017
2482017
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
2082012
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Articles 1–20