@book{CTT100715451,
  author = {渡邊澄夫 and 永尾 太郎 and 樺島祥介 and 田中利幸 and 中島伸一},
  title = {ランダム行列の数理と科学},
  publisher = {森北出版},
  year = 2014,
}

@book{CTT100660193,
  author = {元田浩 and 栗田多喜夫 and 樋口知之 and 松本裕治 and 村田昇 and 赤穂昭太郎 and 神嶌敏弘 and 杉山将 and 小野田崇 and 池田和司 and 鹿島久嗣 and 賀沢秀人 and 中島伸一 and 竹内純一 and 持橋大地 and 小山聡 and 井手剛 and 篠田浩一 and 山川宏},
  title = {パターン認識と機械学習（下）ベイズ理論による統計的予測},
  publisher = {丸善出版},
  year = 2008,
}

@article{CTT100660167,
  author = {Nakajima, S. and Sugiyama, M. and & Babacan, D.},
  title = {Variational Bayesian sparse additive matrix factorization},
  journal = {Machine Learning},
  year = 2013,
}

@article{CTT100660184,
  author = {Nakajima, S. and Sugiyama, M. and Babacan, D. and &Tomioka, R.},
  title = {Global analytic solution of fully-observed variational Bayesian matrix factorization},
  journal = {Journal of Machine Learning Research},
  year = 2013,
}

@article{CTT100660283,
  author = {Nakajima, S. and Sugiyama, M.},
  title = {Theoretical analysis of Bayesian matrix factorization},
  journal = {Journal of Machine Learnig Research},
  year = 2011,
}

@article{CTT100544378,
  author = {SHINICHI NAKAJIMA and SUMIO WATANABE},
  title = {Variational Bayes Solution of Linear Neural Networks and its Generalization Performance},
  journal = {Neural Computation},
  year = 2007,
}

@article{CTT100508085,
  author = {高松 慎吾 and 中島伸一 and 渡邊澄夫},
  title = {局所化ベイズ学習法},
  journal = {電子情報通信学会論文誌},
  year = 2006,
}

@article{CTT100508083,
  author = {SHINICHI NAKAJIMA and SUMIO WATANABE},
  title = {Generalization Performance of Subspace Bayes Approach in Linear Neural Networks},
  journal = {IEICE Transactions},
  year = 2006,
}

@inproceedings{CTT100660119,
  author = {Nakajima, S. and Tomioka, R. and Sugiyama, M. and & Babacan, D.},
  title = {On dimensionality recovery guarantee of variational Bayesian PCA.},
  booktitle = {},
  year = 2013,
}

@inproceedings{CTT100660127,
  author = {Nakajima, S. and Sugiyama, M. and & Babacan, D.},
  title = {Foreground/background video separation by segmentaion-based generalized matrix factorization},
  booktitle = {},
  year = 2012,
}

@inproceedings{CTT100660241,
  author = {Nakajima, S. and Sugiyama, M. and Babacan, D.},
  title = {Sparse additive matrix factorizationfor robust PCA and its generalization.},
  booktitle = {JMLR Workshop and Conference Proceedings},
  year = 2012,
}

@inproceedings{CTT100660238,
  author = {Nakajima, S. and Tomioka, R. and Sugiyama, M. and Babacan, D.},
  title = {Perfect dimensionality recovery by variational Bayesian PCA.},
  booktitle = {Advances in Neural Information Processing Systems 25},
  year = 2012,
}

@inproceedings{CTT100544385,
  author = {SHINICHI NAKAJIMA and SUMIO WATANABE},
  title = {Generalization Error of Automatic Relevance Determination},
  booktitle = {Proc. of ICANN},
  year = 2007,
}

@inproceedings{CTT100508096,
  author = {Shingo Takamatsu and SHINICHI NAKAJIMA and SUMIO WATANABE},
  title = {Localized Bayes Estimation for Non-identifiable Models},
  booktitle = {Proc. of International Conference on Neural Information Processing},
  year = 2006,
}

@inproceedings{CTT100508097,
  author = {SHINICHI NAKAJIMA and SUMIO WATANABE},
  title = {Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem},
  booktitle = {Proc. of International Conference on Artificial Neural Networks},
  year = 2006,
}

@inproceedings{CTT100550000,
  author = {SHINICHI NAKAJIMA and SUMIO WATANABE},
  title = {Generalization Error and Free Energy of Linear Neural Networks in Variational Bayes Approach},
  booktitle = {Proc. of ICONIP2005},
  year = 2005,
}

@inproceedings{CTT100549999,
  author = {SHINICHI NAKAJIMA and SUMIO WATANABE},
  title = {Generalization Error of Linear Neural Networks in an Empirical Bayes Approach},
  booktitle = {Proc. of IJCAI2005},
  year = 2005,
}

@misc{CTT100602572,
  author = {SHINICHI NAKAJIMA},
  title = {Asymptotic theory of empirical and variational Bayes learning},
  year = 2006,
}



@phdthesis{CTT100602572,
  author = {SHINICHI NAKAJIMA},
  title = {Asymptotic theory of empirical and variational Bayes learning},
  school = {東京工業大学},
  year = 2006,
}