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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [schedule] [select]
Chair Kenji Fukumizu (ISM)
Vice Chair Masashi Sugiyama (Univ. of Tokyo), Hisashi Kashima (Kyoto Univ.)
Secretary Koji Tsuda (Univ. of Tokyo), Ichiro Takeuchi (Nagoya Inst. of Tech.)
Assistant Toshihiro Kamishima (AIST), Tomoharu Iwata (NTT)

() [schedule] [select]

Conference Date Mon, Mar 6, 2017 13:30 - 17:30
Tue, Mar 7, 2017 10:00 - 14:30
Topics Statistical Mathematics, Machine Learning, Data Mining, etc. 
Conference Place Tokyo Institute of Technology, Ookayama campus 
Transportation Guide
Taiji Suzuki
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Mon, Mar 6 PM  Theory of machine learning
Chair: Taiji Suzuki
13:30 - 16:15
(1) 13:30-14:00 Tighter generalization bounds for matrix completion based on non-negative matrix factorization with norm constraints IBISML2016-100 Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.)
(2) 14:00-14:30 Exact calculation of grid-structured Markov random field model by corner transfer matrix method IBISML2016-101 Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.)
(3) 14:30-15:00 Degrees of freedom in submodular regularization IBISML2016-102 Kentaro Minami, Fumiyasu Komaki (The University of Tokyo)
  15:00-15:15 Break ( 15 min. )
(4) 15:15-16:15 Invited talk
Yuichi Yoshida (National Institute of Informatics)
"Constant time algorithms in machine learning"
  16:15-16:30 Break ( 15 min. )
Mon, Mar 6 PM  Deep learning
Chair: Taiji Suzuki
16:30 - 17:30
(5) 16:30-17:00 New Lerning Algorythm of Neural Network using Integral Representation and Kernel Herding IBISML2016-103 Takuo Matsubara, Sho Sonoda, Noboru Murata (Waseda Univ.)
(6) 17:00-17:30 Recurrent Neural Networks for task-evoked fMRI data classification IBISML2016-104 Koya Ohashi (Tokyo Tech), Taiji Suzuki (Tokyo Tech/JST/RIKEN)
Tue, Mar 7 AM  Optimization method
Chair: Shunichi Nomura
10:00 - 12:00
(7) 10:00-10:30 Safe Pruning Rule for Predictive Sequential Pattern Mining and Its Application to Bio-logging Data Analysis IBISML2016-105 Kaoru Kishimoto (NITech), Masayuki Karasuyama (NIT), Kazuya Nakagawa (NITech), Kotaro Kimura (Osaka Univ.), Ken Yoda (Nagoya Univ.), Yuta Umezu, Shinsuke Kajioka (NITech), Koji Tsuda (UTokyo), Ichiro Takeuchi (NITech)
(8) 10:30-11:00 Doubly Accelerated Stochastic Variance Reduced Gradient Method for Regularized Empirical Risk Minimization IBISML2016-106 Tomoya Murata, Taiji Suzuki (Tokyo Tech)
(9) 11:00-11:30 A study on minimizing size of sparse model optimization problem: exploiting safe rules for keeping and removing variables IBISML2016-107 Masayuki Karasuyama (NIT/NIMS/JST), Atsushi Shibagaki (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN/NIMS)
(10) 11:30-12:00 A stochastic optimization method and generalization bounds for voting classifiers by continuous density functions IBISML2016-108 Atsushi Nitanda (Tokyo Tech./NTTDATA MSI), Taiji Suzuki (Tokyo Tech./JST/RIKEN)
  12:00-13:00 Lunch break ( 60 min. )
Tue, Mar 7 PM  Applications of machine learning
Chair: Taiji Suzuki
13:00 - 14:30
(11) 13:00-13:30 Classification of In-week and -day Patterns of Ambulatory Activity Using a Hierarchical Topic Model and Interpolation of Step Counts in Missing Days IBISML2016-109 Shunichi Nomura (Tokyo Tech.), Michiko Watanabe, Yuko Oguma (Keio Univ.)
(12) 13:30-14:00 Topic model for analysis of gene expression data IBISML2016-110 Koji Iwayama (Ryukoku Univ.), Atsushi J. Nagano (Ryukoku Univ./Kyoto Univ.)
(13) 14:00-14:30 CTC network with explicit representation vector of Markov property IBISML2016-111 Yuta Kawachi, Taichi Asami, Yoshikazu Yamaguchi, Yushi Aono (NTT)

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General TalkEach speech will have 25 minutes for presentation and 5 minutes for discussion.

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IBISML Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)   [Latest Schedule]
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