Thore Graepel
homepage:http://research.microsoft.com/en-us/people/thoreg/
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Description

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.


Lectures:

panel
flag 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),
135 views
  lecture
flag 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,
54 views
invited talk
flag Kernel Topic Models
as author at  Confluence between Kernel Methods and Graphical Models,
168 views
  invited talk
flag Collaborative Learning of Preferences for Recommending Games and Media
as author at  Choice Models and Preference Learning,
248 views
invited talk
flag Explorations in Computer Go, Web Search, and Online Advertising
as author at  Workshop on On‐lineTrading of Exploration and Exploitation 2, Washington 2011,
230 views
  tutorial
flag Machine Learning in Microsoft's Online Services: TrueSkill, AdPredictor, and Matchbox
as author at  Industrial Session,
398 views
invited talk
flag TrueSkill and AdPredictor: Large Scale Machine Learning in the Wild
as author at  Workshop on Applications of Pattern Analysis (WAPA), Cumberland Lodge 2010,
638 views
  lecture
flag Probabilistic Machine Learning in Computational Advertising
as author at  NIPS Workshops, Whistler 2009,
2211 views
lecture
flag Large Scale Online Bayesian Recommendations
as author at  World Wide Web (WWW) Conference, Madrid 2009,
together with: David Stern, Ralf Herbrich,
752 views
  lecture
flag Machine Learning for Games
as author at  Machine Learning Summer School (MLSS), Canberra 2005,
2162 views