I am a senior researcher at Microsoft Research Cambridge leading the Online Services and Advertising and Applied Games group together with Ralf Herbrich. Our work is focused on the application of large scale machine learning and probabilistic modelling techniques to a wide range of problems including online advertising, web search, and games. I have a particular passion for the game of go and the quest for developing a go engine that plays as good as the best human players.
Before joining the Cambridge lab of Microsoft Research, I was a postdoctoral researcher at the Department of Computer Science at Royal Holloway, University of London working on learning theory and machine learning algorithms with Prof. John Shawe-Taylor. View the beautiful campus of Royal Holloway here.
Before that, I worked with Nici Schraudolph and Prof. Petros Koumoutsakos as a postdoctoral researcher at the Institute of Computational Science (ICOS) which is part of the Department of Computer Science of the Swiss Federal Institute of Technology, Zürich (ETH). Topics of research were machine learning and large-scale nonlinear optimisation.
I received my doctorate (Dr. rer. nat) from the Department of Computer Science of the Technical University of Berlin, where I was first a member of the Neural Information Processing group of Prof. Klaus Obermayer and later joined the Statistics group of Prof. Ulrich Kockelkorn.
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lecture
Probabilistic Machine Learning in Computational Advertising
as author at NIPS Workshops, Whistler 2009,
18705 views
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lecture
Machine Learning for Games
as author at Machine Learning Summer School (MLSS), Canberra 2005,
16189 views
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invited talk
TrueSkill and AdPredictor: Large Scale Machine Learning in the Wild
as author at Workshop on Applications of Pattern Analysis (WAPA), Cumberland Lodge 2010,
6708 views
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lecture
Large Scale Online Bayesian Recommendations
as author at World Wide Web (WWW) Conference, Madrid 2009,
together with:
David Stern,
Ralf Herbrich,
7291 views
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tutorial
Machine Learning in Microsoft's Online Services: TrueSkill, AdPredictor, and Matchbox
as author at Industrial Session,
6348 views
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invited talk
Collaborative Learning of Preferences for Recommending Games and Media
as author at Choice Models and Preference Learning,
4409 views
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invited talk
Explorations in Computer Go, Web Search, and Online Advertising
as author at Workshop on On‐lineTrading of Exploration and Exploitation 2, Washington 2011,
4309 views
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invited talk
Kernel Topic Models
as author at Confluence between Kernel Methods and Graphical Models,
3567 views
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panel
Big Data - Challenges and Opportunities
as panelist at 1st UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), London 2014,
together with:
Christophe Bernard (panelist),
Christoph Best (panelist),
Robert Calderbank (moderator),
Patrick J. Wolfe (moderator),
2826 views
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lecture
Private traits and attributes are predictable from digital records of human behavior
as author at Large-scale Online Learning and Decision Making (LSOLDM) Workshop, Cumberland Lodge 2013,
2872 views
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