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Probabilistic 2016 - Workshop on Probabilistic Graphical Model

Date2016-03-23 - 2016-03-25

Deadline2015-12-30

VenueTokyo, Japan Japan

Keywords

Website

Topics/Call fo Papers

Workshop on Probabilistic Graphical Model which is going to be held at The Institute of Statistical Mathematics, Tokyo next March.
Date: March 23 (Wed), 24 (Thu), 25 (Fri), 2016
Location: The Institute of Statistical Mathematics (ISM), Tokyo, Japan. (https://sites.google.com/site/2016pgm/access-1)
The website of this workshop is available now:
https://sites.google.com/site/2016pgm/
There are totally 15 invited talks on a variety of topics of Probabilistic Graphical Models, including Markov Random Field, Bayesian Network, Causal Inference, Kernel Graphical Modelling, Model Selection and so on:
Confirmed invited speakers:
Pradeep Ravikumar (U. Texas, Austin)
Po-Ling Loh (U. Pennsylvania)
Le Song (Georgia Tech)
Wittawat Jitkrittum (Univ, College London)
Taiji Suzuki (Tokyo Institute of Technology)
Yoshinobu Kawahara (Osaka U)
Joe Suzuki (Osaka U)
Shohei Shimizu (Osaka U)
Takashi Takenouchi (Future University, Hakodate)
Kei Hirose (Osaka U)
Hiroshi Ishikawa (Waseda U)
Muneki Yasuda (Yamagata U)
Kohei Hayashi (National Institute of Informatics)
Masaki Saito (Tohoku U)
Song Liu (ISM)
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/2016pgm/participate
Sponsored by
Grant-in-Aid for Scientific Research on Innovative Areas “Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling” (http://sparse-modeling.jp/index_e.html)
and
Research Center for Statistical Machine Learning, The Institute of Statistical Mathematics (http://www.ism.ac.jp/noe/sml-center/en/index.html)
Organizers:
Song Liu (http://www.ism.ac.jp/~liu/) and Kenji Fukumizu (http://www.ism.ac.jp/~fukumizu/)
Research Center of Statistical Machine Learning,
The Institute of Statistical Mathematics, Japan

Last modified: 2015-12-06 23:02:33