Watanabe, Sumio

20 publications

ACML 2023 Free Energy of Bayesian Convolutional Neural Network with Skip Connection Shuya Nagayasu, Sumio Watanabe

JMLR 2013 A Widely Applicable Bayesian Information Criterion Sumio Watanabe

JMLR 2010 Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory Sumio Watanabe

MLJ 2009 Upper Bound for Variational Free Energy of Bayesian Networks Kazuho Watanabe, Motoki Shiga, Sumio Watanabe

ICML 2007 Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller

JMLR 2006 Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation Kazuho Watanabe, Sumio Watanabe

IJCAI 2005 Generalization Error of Linear Neural Networks in an Empirical Bayes Approach Shinichi Nakajima, Sumio Watanabe

ALT 2005 Stochastic Complexity for Mixture of Exponential Families in Variational Bayes Kazuho Watanabe, Sumio Watanabe

NeurIPS 2005 Variational Bayesian Stochastic Complexity of Mixture Models Kazuho Watanabe, Sumio Watanabe

ALT 2004 Estimation of the Data Region Using Extreme-Value Distributions Kazuho Watanabe, Sumio Watanabe

ALT 2004 Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions Keisuke Yamazaki, Sumio Watanabe

NeCo 2003 Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities Sumio Watanabe, Shun-ichi Amari

UAI 2003 Stochastic Complexity of Bayesian Networks Keisuke Yamazaki, Sumio Watanabe

NeurIPS 2002 The Effect of Singularities in a Learning Machine When the True Parameters Do Not Lie on Such Singularities Sumio Watanabe, Shun-ichi Amari

NeCo 2001 Algebraic Analysis for Nonidentifiable Learning Machines Sumio Watanabe

NeurIPS 2000 Algebraic Information Geometry for Learning Machines with Singularities Sumio Watanabe

NeurIPS 1999 Algebraic Analysis for Non-Regular Learning Machines Sumio Watanabe

ALT 1999 Algebraic Analysis for Singular Statistical Estimation Sumio Watanabe

NeurIPS 1993 An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion Sumio Watanabe

NeurIPS 1993 Solvable Models of Artificial Neural Networks Sumio Watanabe