Stochastic complexities of reduced rank regression in Bayesian estimation. - Miki Aoyagi; Sumio Watanabe (Neural Networks, 2005)

Generalization error of three layered learning model in bayesian estimation. - Miki Aoyagi; Sumio Watanabe (Computational Intelligence, 2006)

Eye direction by stereo image processing using corneal reflection on an iris. - Kumiko Tsuji; Miki Aoyagi (Computational Intelligence, 2006)

Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation. - Miki Aoyagi; Sumio Watanabe (MDAI, 2007)

Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation. - Miki Aoyagi (J. Mach. Learn. Res., 2010)

Asymptotic analysis of Bayesian generalization error with Newton diagram. - Keisuke Yamazaki; Miki Aoyagi; Sumio Watanabe (Neural Networks, 2010)

Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity. - Miki Aoyagi; Kenji Nagata (Neural Comput., 2012)

Consideration on Singularities in Learning Theory and the Learning Coefficient. - Miki Aoyagi (Entropy, 2013)

Learning Coefficients and Information Criteria. - Miki Aoyagi (FSDM, 2019)

Learning Coefficient of Vandermonde Matrix-Type Singularities in Model Selection. - Miki Aoyagi (Entropy, 2019)

Consideration on the learning efficiency of multiple-layered neural networks with linear units. - Miki Aoyagi (Neural Networks, 2024)

Singular leaning coefficients and efficiency in learning theory. - Miki Aoyagi (CoRR, 2025)