We have contacted a wide range of expert statisticians and people
interested in applying these nonparametric Bayesian methods to real-world
machine learning problems.
Many many more than those listed actually participated in the workshop;
these people are the attending authors and co-authors.
Confirmed Participants & Speakers
- Toshiaki Aida (Okayama, Japan)
- David Blei (CS, Berkeley)
- Michael Escobar (Public Health Sciences and Statistics, Toronto)
- Zoubin Ghahramani (Gatsby Unit, London UK)
- Tom Griffiths (Brain & CogSci, MIT)
- Michael Jordan (CS & Statistics, Berkeley)
- Charles Kemp (Brain & CogSci, MIT)
- Thomas Minka (Statistics, CMU)
- Radford Neal (Statistics, Toronto)
- Carl Rasmussen (Max Planck Institute, Tübingen)
- Anton Schwaighofer (IGI, TU Graz)
- Roded Sharan (ICSI, Berkeley)
- Sean Stromsten (Psychology, Stanford)
- Josh Tenenbaum (Brain & CogSci, MIT)
- Volker Tresp (Siemens, Munich)
- Larry Wasserman (Statistics, CMU)
- Max Welling (CS, Irvine)
- Eric Xing (CS, Berkeley)
- Kai Yu (CS, Munich)
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Workshop Organizers
Please email the organisers to have
your name added to the opposite list.
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