Large-Scale Online Learning and Decision-Making Workshop
Monday, September 17, 2012 at 10:00 AM - Wednesday, September 19, 2012 at 4:00 PM (BST)
San Francisco, California
London, United Kingdom
The provisional programme can be found at: http://www.csml.ucl.ac.uk/userdata/workshops/LSOLDM2012/
The goal of this workshop is to bring together researchers from both industry and academia to share their experiences of implementing large-scale applications of online learning and online decision-making. A selection of example applications includes banner advertisement selection, news story selection, targeted email, and recommender systems. The workshop will focus on the scalability of current online methods to large-scale implementations that are of practical value to industry. Relevant methods include exploration/exploitation trade-offs (e.g. contextual bandits), large-scale gradient descent, parallelization, collaborative filtering, unsupervised feature learning and dimensionality reduction.
The workshop will consist of a series of informal talks and discussions, hosted at the historic venue of Cumberland Lodge (http://www.cumberlandlodge.ac.uk), in Great Park, Windsor, UK - just 20 minutes drive from Heathrow airport. Attendance is by invitation only, due to limited capacity.
David Silver (UCL)
John Shawe-Taylor (UCL)
Thore Graepel (Microsoft Research)
Ralf Herbrich (Facebook, formerly Microsoft Research)
John Langford (Microsoft Research, formerly Yahoo! Labs)
The ticket price includes accomodation for Monday 17th and Tuesday 18th September, and full catering. Catering for breakfast, morning and afternoon breaks and lunch on Wednesday 19th September.
If you only need a day delegate rate please contact Victoria Nicholl on email@example.com
For more about the venue please see: http://www.cumberlandlodge.ac.uk
Sponsored by Causata