Ralf Herbrich, Tom Minka, Thore Graepel. (2007). "TrueSkill(TM): a Bayesian skill rating system." Advances in Neural Information Processing Systems. pages 569-576.
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Web-Scale Bayesian click-through rate prediction for sponsored search advertising in Microsofts Bing search engine
Thore Graepel, Joaquin Quinonero-Candela, Thomas Borchert, Ralf Herbrich. (2010). "Web-Scale Bayesian click-through rate prediction for sponsored search advertising in Microsofts Bing search engine" Proceedings of the 27th International Conference on Machine Learning (ICML-10). pages 13-20.
Michal Kosinski, David Stillwell, and Thore Graepel. (2013). "Private traits and attributes are predictable from digital records of human behavior." Proceedings of the National Academy of Sciences of the United States of America (PNAS). 110 (15) 5802-5805.
David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel & Demis Hassabis. (2016). "Mastering the game of Go with deep neural networks and tree search." Nature. 529, pages 484–489.
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George Van Den Driessche, Thore Graepel, Demis Hassabis. (2017). "Mastering the game of Go without human knowledg." Nature. 550(7676), pages 354-359.
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis. (2018). "A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play." Science. Vol. 362, Issue 6419, pp. 1140-1144.
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel. (2019). "Human-level performance in 3D multiplayer games with population-based reinforcement learning." Science. Vol. 364, Issue 6443, pp. 859-865.
Lecture at Mixed venues, All over the world
Talk at NetSci & WebSci Conference, Northwestern University, Evanston, Illinois, US
Talk at Think Computer Science Event by Microsoft Research, Cambridge, UK
Talk at Europe's first Computational Social Science conference, Data Science Lab, Warwick Business School, Warwick, UK
Talk at Alan Turing Institute, London, UK
Tutorial at AAMAS/ICML 2018, Stockholm, Sweden
Talk at TEDx, Exeter, UK
Conference Keynote at AAMAS 2020 Keynote (remote), Online
Lecture at DeepMind x UCL - Deep Learning Lectures, UCL, London, UK
Service and leadership
- Currently signed in to 43 different slack teams