University of Cambridge > > Machine Learning Journal Club > Expectation Propagation on the TrueSkill model

Expectation Propagation on the TrueSkill model

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Carl Scheffler.

Over the next couple of weeks we’ll look at the TrueSkill system for ranking players and teams in a competitive game. The main outcome is to understand EP by implementing it.

Please read at least the first 2 references below.


  • Ralf Herbrich, Tom Minka, Thore Graepel, ``TrueSkill™: A Bayesian Skill Rating System’’ [ps.gz] [pdf]
  • Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel, ``TrueSkill Through Time: Revisiting the History of Chess’’ [ps.gz] [pdf]
  • Thomas Minka, ``A family of algorithms for approximate Bayesian inference’’, Chapters 1 and 3. [ps.gz] [pdf]

This talk is part of the Machine Learning Journal Club series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2022, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity