Sumio Watanabe

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 16

Top Venues

CoRR

ICANN (2)

ACML

SSCI

Publications

Sumio Watanabe
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory. CoRR (2024)
Naoki Yoshida, Sumio Watanabe
Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference. CoRR (2023)
Shuya Nagayasu, Sumio Watanabe
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases. CoRR (2023)
Shuya Nagayasu, Sumio Watanabe
Free Energy of Bayesian Convolutional Neural Network with Skip Connection. ACML (2023)
Shuya Nagayasu, Sumio Watanabe
Free energy of Bayesian Convolutional Neural Network with Skip Connection. CoRR (2023)
Sumio Watanabe
Mathematical Theory of Bayesian Statistics for Unknown Information Source. CoRR (2022)
Sumio Watanabe
Recent Advances in Algebraic Geometry and Bayesian Statistics. CoRR (2022)
Takumi Watanabe, Sumio Watanabe
Asymptotic Behavior of Bayesian Generalization Error in Multinomial Mixtures. CoRR (2022)
Natsuki Kariya, Sumio Watanabe
Testing Homogeneity for Normal Mixture Models: Variational Bayes Approach. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2020)
Naoki Hayashi, Sumio Watanabe
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization. SN Comput. Sci. 1 (2) (2020)
Naoki Hayashi, Sumio Watanabe
Upper Bound of Bayesian Generalization Error in Stochastic Matrix Factorization. CoRR (2017)
Naoki Hayashi, Sumio Watanabe
Upper bound of Bayesian generalization error in non-negative matrix factorization. Neurocomputing 266 (2017)
Naoki Hayashi, Sumio Watanabe
Tighter upper bound of real log canonical threshold of non-negative matrix factorization and its application to Bayesian inference. SSCI (2017)
Masahiro Kohjima, Sumio Watanabe
Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. ICANN (2) (2017)
Naoki Hayashi, Sumio Watanabe
Upper Bound of Bayesian Generalization Error in Non-negative Matrix Factorization. CoRR (2016)
Natsuki Koda, Sumio Watanabe
Interpretation Method of Nonlinear Multilayer Principal Component Analysis by Using Sparsity and Hierarchical Clustering. ICMLA (2016)
Sumio Watanabe
Bayesian Cross Validation and WAIC for Predictive Prior Design in Regular Asymptotic Theory. CoRR (2015)
Sumio Watanabe
A widely applicable Bayesian information criterion. J. Mach. Learn. Res. 14 (1) (2013)
Shigehiro Ohara, Keisuke Yamazaki, Sumio Watanabe
A Geometric Evaluation of Self-Organizing Map and Application to City Data Analysis. MIWAI (2013)
Koshi Yamada, Sumio Watanabe
Information criterion for variational Bayes learning in regular and singular cases. SCIS&ISIS (2012)
Keisuke Yamazaki, Sumio Watanabe
Stochastic complexity of Bayesian networks CoRR (2012)
Koshi Yamada, Sumio Watanabe
Statistical Learning Theory of Quasi-Regular Cases. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2012)
Sumio Watanabe
A Widely Applicable Bayesian Information Criterion CoRR (2012)
Daisuke Kaji, Sumio Watanabe
Two design methods of hyperparameters in variational Bayes learning for Bernoulli mixtures. Neurocomputing 74 (11) (2011)
Fumiaki Saitoh, Sumio Watanabe
On Generalization Error of Self-Organizing Map. ICONIP (2) (2010)
Sumio Watanabe
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory CoRR (2010)
Sumio Watanabe
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory. J. Mach. Learn. Res. 11 (2010)
Sumio Watanabe
Equations of states in singular statistical estimation. Neural Networks 23 (1) (2010)
Sumio Watanabe
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory CoRR (2010)
Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe
Asymptotic analysis of Bayesian generalization error with Newton diagram. Neural Networks 23 (1) (2010)
Sumio Watanabe
Equations of States in Statistical Learning for an Unrealizable and Regular Case. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2010)
Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe
Phase Transition of Variational Bayes Learning in Bernoulli Mixture. Aust. J. Intell. Inf. Process. Syst. 11 (4) (2010)
Yu Nishiyama, Sumio Watanabe
Accuracy of Loopy belief propagation in Gaussian models. Neural Networks 22 (4) (2009)
Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
Upper bound for variational free energy of Bayesian networks. Mach. Learn. 75 (2) (2009)
Sumio Watanabe
A Limit Theorem in Singular Regression Problem CoRR (2009)
Daisuke Kaji, Sumio Watanabe
Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes. ICONIP (1) (2009)
Sumio Watanabe
Equations of States in Statistical Learning for a Nonparametrizable and Regular Case CoRR (2009)
Kenji Nagata, Sumio Watanabe
Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models. ICONIP (1) (2008)
Kenji Nagata, Sumio Watanabe
Asymptotic behavior of exchange ratio in exchange Monte Carlo method. Neural Networks 21 (7) (2008)
Yu Nishiyama, Sumio Watanabe
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. ICANN (1) (2008)
Sumio Watanabe
A formula of equations of states in singular learning machines. IJCNN (2008)
Masashi Matsumoto, Sumio Watanabe
Experimental Study of Ergodic Learning Curve in Hidden Markov Models. ICONIP (1) (2008)
Daisuke Kaji, Sumio Watanabe
Model Selection Method for AdaBoost Using Formal Information Criteria. ICONIP (2) (2008)
Kenji Nagata, Sumio Watanabe
Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. IEEE Trans. Neural Networks 19 (7) (2008)
Yu Nishiyama, Sumio Watanabe
On the Minima of Bethe Free Energy in Gaussian Distributions. ICAISC (2008)
Keisuke Yamazaki, Sumio Watanabe
Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift. ICONIP (1) (2007)
Shinichi Nakajima, Sumio Watanabe
Generalization Error of Automatic Relevance Determination. ICANN (1) (2007)
Sumio Watanabe
Equations of States in Singular Statistical Estimation CoRR (2007)
Kazuho Watanabe, Sumio Watanabe
Stochastic complexities of general mixture models in variational Bayesian learning. Neural Networks 20 (2) (2007)
Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller
Asymptotic Bayesian generalization error when training and test distributions are different. ICML (2007)
Takeshi Matsuda, Sumio Watanabe
On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities. ICANN (1) (2007)
Miki Aoyagi, Sumio Watanabe
Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation. MDAI (2007)
Sumio Watanabe
Almost All Learning Machines are Singular. FOCI (2007)
Kenji Nagata, Sumio Watanabe
Analysis of Exchange Ratio for Exchange Monte Carlo Method. FOCI (2007)
Kazuho Watanabe, Sumio Watanabe
Stochastic complexity for mixture of exponential families in generalized variational Bayes. Theor. Comput. Sci. 387 (1) (2007)
Kenji Nagata, Sumio Watanabe
Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method. ICONIP (2) (2007)
Shinichi Nakajima, Sumio Watanabe
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance. Neural Comput. 19 (4) (2007)
Ryosuke Iriguchi, Sumio Watanabe
Estimation of Poles of Zeta Function in Learning Theory Using Padé Approximation. ICANN (1) (2007)
Yu Nishiyama, Sumio Watanabe
Theoretical Analysis of Accuracy of Gaussian Belief Propagation. ICANN (1) (2007)
Kenji Nagata, Sumio Watanabe
Algebraic Geometric Study of Exchange Monte Carlo Method. ICANN (1) (2007)
Takeshi Matsuda, Sumio Watanabe
The Calculation Method of Learning Coefficients by Weighted Resolution of Singularities. MLMTA (2007)
Tikara Hosino, Kazuho Watanabe, Sumio Watanabe
Free Energy of Stochastic Context Free Grammar on Variational Bayes. ICONIP (1) (2006)
Kenji Nagata, Sumio Watanabe
Generalization Performance of Exchange Monte Carlo Method for Normal Mixture Models. IDEAL (2006)
Shinichi Nakajima, Sumio Watanabe
Generalization Performance of Subspace Bayes Approach in Linear Neural Networks. IEICE Trans. Inf. Syst. (3) (2006)
Takeshi Matsuda, Sumio Watanabe
Analytic Equivalence of Bayes a Posteriori Distributions. ICANN (1) (2006)
Kazuho Watanabe, Sumio Watanabe
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. J. Mach. Learn. Res. 7 (2006)
Miki Aoyagi, Sumio Watanabe
Generalization error of three layered learning model in bayesian estimation. Computational Intelligence (2006)
Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. IDEAL (2006)
Shinichi Nakajima, Sumio Watanabe
Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem. ICANN (2) (2006)
Yu Nishiyama, Sumio Watanabe
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines. ICONIP (1) (2006)
Shingo Takamatsu, Shinichi Nakajima, Sumio Watanabe
Localized Bayes Estimation for Non-identifiable Models. ICONIP (1) (2006)
Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Müller
A Model Selection Method Based on Bound of Learning Coefficient. ICANN (2) (2006)
Kenji Nagata, Sumio Watanabe
The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines. IJCNN (2006)
Sumio Watanabe
Algebraic geometry of singular learning machines and symmetry of generalization and training errors. Neurocomputing 67 (2005)
Miki Aoyagi, Sumio Watanabe
Stochastic complexities of reduced rank regression in Bayesian estimation. Neural Networks 18 (7) (2005)
Shinichi Nakajima, Sumio Watanabe
Generalization Error of Linear Neural Networks in an Empirical Bayes Approach. IJCAI (2005)
Kazuho Watanabe, Sumio Watanabe
Variational Bayesian Stochastic Complexity of Mixture Models. NIPS (2005)
Kazuho Watanabe, Sumio Watanabe
Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. ALT (2005)
Keisuke Yamazaki, Sumio Watanabe
Algebraic geometry and stochastic complexity of hidden Markov models. Neurocomputing 69 (1-3) (2005)
Keisuke Yamazaki, Sumio Watanabe
Singularities in complete bipartite graph-type Boltzmann machines and upper bounds of stochastic complexities. IEEE Trans. Neural Networks 16 (2) (2005)
Kazuho Watanabe, Sumio Watanabe
Estimation of the Data Region Using Extreme-Value Distributions. ALT (2004)
Keisuke Yamazaki, Sumio Watanabe
Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions. ALT (2004)
Keisuke Yamazaki, Sumio Watanabe
Stochastic Complexity of Bayesian Networks. UAI (2003)
Keisuke Yamazaki, Sumio Watanabe
Stochastic complexities of hidden Markov models. NNSP (2003)
Sumio Watanabe, Shun-ichi Amari
Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities. Neural Comput. 15 (5) (2003)
Keisuke Yamazaki, Sumio Watanabe
Singularities in mixture models and upper bounds of stochastic complexity. Neural Networks 16 (7) (2003)
Sumio Watanabe
Errata to "learning efficiency of redundant neural networks in bayesian estimation". IEEE Trans. Neural Networks 13 (1) (2002)
Sumio Watanabe, Shun-ichi Amari
The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities. NIPS (2002)
Sumio Watanabe
Learning efficiency of redundant neural networks in Bayesian estimation. IEEE Trans. Neural Networks 12 (6) (2001)
Sumio Watanabe
Algebraic geometrical methods for hierarchical learning machines. Neural Networks 14 (8) (2001)
Sumio Watanabe
Algebraic Analysis for Nonidentifiable Learning Machines. Neural Comput. 13 (4) (2001)
Sumio Watanabe
Algebraic Information Geometry for Learning Machines with Singularities. NIPS (2000)
Sumio Watanabe
Algebraic Analysis for Non-regular Learning Machines. NIPS (1999)
Sumio Watanabe
Algebraic Analysis for Singular Statistical Estimation. ALT (1999)
Sumio Watanabe
Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning. ICONIP (1998)
Shin Ishii, Kenji Fukumizu, Sumio Watanabe
A network of chaotic elements for information processing. Neural Networks 9 (1) (1996)
Sumio Watanabe
Solvable models of layered neural networks based on their differential structure. Adv. Comput. Math. 5 (1) (1996)
Sumio Watanabe
A Modified Information Criterion for Automatic Model and Parameter Selection in Neural Network Learning. IEICE Trans. Inf. Syst. (4) (1995)
Kazunori Takatsu, Hidefumi Sawai, Sumio Watanabe, Masahide Yoneyama
Genetic algorithms applied to bayesian image restoration. Systems and Computers in Japan 26 (5) (1995)
Sumio Watanabe, Kenji Fukumizu
Probabilistic design of layered neural networks based on their unified framework. IEEE Trans. Neural Networks 6 (3) (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sumio Watanabe