SUMIO WATANABE

ワタナベスミオ | SUMIO WATANABE

Affiliation and department：
Job title： Professor

Research field (1)： Basic analysis

Research theme for competitive and other funds (12)：

2021 - 2024 Information Criterion WBIC and its improvement
2015 - 2020 Difference between marginal likelihood and generalization error as statistical model evaluation based on algebraic geometry and structure learning theory
2013 - 2018 Statistical mechanics approach to massive sparse modeling
2011 - 2015 Structure Learning Theory and Birational Geometry
2006 - 2009 Establishment of Information Physics based on algebraic geometry

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Papers (30)：

Shigehiro Ohara, Keisuke Yamazaki, Sumio Watanabe. A Geometric Evaluation of Self-Organizing Map and Application to City Data Analysis. MULTI-DISCIPLINARY TRENDS IN ARTIFICIAL INTELLIGENCE. 2013. 8271. 165-174
Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe. Phase Transition of Variational Bayes Learning in Bernoulli Mixture. Austr. J. Intelligent Information Processing Systems. 2010. 11. 4
Yu Nishiyama, Sumio Watanabe. On the minima of bethe free energy in gaussian distributions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008. 5097. 1075-1086
Keisuke Yamazaki, Sumio Watanabe. Experimental Bayesian generalization error of non-regular models under covariate shift. NEURAL INFORMATION PROCESSING, PART I. 2008. 4984. 466-476
Yu Nishiyama, Sumio Watanabe. Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT I. 2008. 5163. 51-+

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MISC (138)：

Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning. 2017. 117. 293. 23-30
TAMAI Yusuke, WATANABE Sumio. Model Selection of Layered Neural Networks using WBIC based on Steepest Descent and MCMC Method. 2013. 113. 286. 1-6
KATO Takashi, WATANABE Sumio. Evaluation Method of Singular Cases Using Posterior Log Likelihood Ratio. IEICE technical report. Neurocomputing. 2013. 112. 480. 1-6
NAKAMURA Fumito, WATANABE Sumio. Free Energy and Generalization error of Local mimima in Variational Bayes Learning. 2012. 112. 279. 59-65
MIKI Takushi, YAMAZAKI Keisuke, WATANABE Sumio. Comparison between the Parameter and the Hidden Variable Space for Calculation of the Marginal Likelihood. IEICE technical report. 2011. 110. 461. 289-294

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Books (20)：

The zeta function for learning theory and resolution of singularities
World Scientific 2009
Algebraic geometry and statistical learning theory
Cambridge University Press 2009 ISBN:9780521864671
The zeta function for learning theory and resolution of singularities
World Scientific 2009
Algebraic geometry and statistical learning theory
Cambridge University Press 2009 ISBN:9780521864671
大学授業がやってきた! 知の冒険
水曜社 2008

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Lectures and oral presentations (103)：

Determining the Number of the Components of Gaussian Mixture Models
(Massachusetts, USA 2010)
Determining the Number of the Components of Gaussian Mixture Models
(Massachusetts, USA 2010)
Two birational invariants in statistical learning theory
(JSPS Forum on Singularities 2009)
Generalization Error by Langevin Equation in Singular Learning Machines
(Proc. of ISITA 2009)
Phase Transition of Generalization Errors in Variational Bayes Learning
(Proc. of ISITA 2009)

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Works (2)：

Education (2)：

Professional career (2)：

Work history (6)：

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Committee career (2)：

Awards (6)：

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Association Membership(s) (3)：

IEEE , IEEE , 電子情報通信学会

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