Probabilistic Graphical Model 2017
- Date
- Feb 22(Wed), 23(Thu), 24(Fri), 2017
- Location
- The Institute of Statistical Mathematics, Tokyo, Japan.
Auditorium Room, B201.
- Organizers
-
Song Liu and Kenji Fukumizu
(Research Center of Statistical Machine Learning, The Institute of Statistical Mathematics, Japan)
We have so far 12 invited talks on a variety of topics of Probabilistic Graphical Models, including :
learning complex probabilistic graphical models from high dimensional data, expressing real-world problems using graphical models, and the optimization of structured learning problems.
- rindam Banerjee (University of Minnesota, Twin Cities)
- Mladen Kolar (The University of Chicago)
- Jinchi Lv (University of Southern California)
- Arthur Gretton (University College London)
- Wittawat Jitkrittum (University College London)
- Taiji Suzuki (Tokyo Institute of Technology)
- Makoto Yamada (Institute for Chemical Research, Kyoto University)
- Hiroaki Sasaki (Nara Institute of Science and Technology)
- Mathieu Blondel (NTT Communication Science Laboratories)
- Emtiyaz Khan (Center for Advanced Integrated Intelligence Research (CAIIR, RIKEN)
- Benjamin Poignard (Center for Research in Economics and Statistics (CREST) and Paris Dauphine University (CEREMADE))
- Song Liu (The Institute of Statistical Mathematics)
Attending is *free of charge*. For us to get an estimate of people count, please submit a simple registration form here if you wish to attend: https://sites.google.com/site/2017pgm/sign-up
Sponsored by- Research Organization of Information and Systems
- Research Center for Statistical Machine Learning , The Institute of Statistical Mathematics