"Naoki Hayashi","Statistical Learning Theory of Parameter-Restricted Singular Models",,,,,,,2021,June
"Naoki Hayashi","Statistical Learning Theory of Parameter-Restricted Singular Models",,,,,,,2021,June
"Naoki Hayashi","Statistical Learning Theory of Parameter-Restricted Singular Models",,,,,,,2021,June
"Naoki Hayashi","The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation",,"Neural Networks",,"Vol. 137",,"pp. 127-137",2021,May
"Naoki Hayashi","Variational approximation error in non-negative matrix factorization",,"Neural Networks",,"Vol. 126",,"pp. 65-75",2020,June
"Keita Harada,Naoki Hayashi,Katsushi Kagaya","Individual behavioral type captured by a Bayesian model comparison in cap making by sponge crab",,"PeerJ",,,,,2020,May
"Naoki Hayashi,Sumio Watanabe","Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation  and Stochastic Matrix Factorization",,"Springer Nature Computer Science","Springer Nature","vol. 1","no. 2","pp. 1-22",2020,Feb.
"林 直輝,渡邊澄夫","ハミルトニアンモンテカルロ法を用いた確率行列分解における実対数閾値の実験的考察","NC研究会",,,,,,2018,Mar.
"Naoki Hayashi,SUMIO WATANABE","Upper Bound of Bayesian Generalization Error in Non-Negative Matrix Factorization",,"NEUROCOMPUTING","Elsevier Science Publishers","Vol. 266",,"pp. 21-28",2017,Nov.
"林 直輝,渡邊澄夫","確率行列分解の実対数閾値とBayes学習への応用","情報論的学習理論と機械学習研究会",,,,,,2017,Nov.
"Naoki Hayashi,SUMIO WATANABE","Tighter Upper Bound of Real Log Canonical Threshold of Non-negative Matrix Factorization and its Application to Bayesian Inference","2017 IEEE Symposium Series on Computational Intelligence",,,,,,2017,Nov.