3 papers
stat.ML2024
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM
Naoki Hayashi, Yoshihide Sawada
Concept Bottleneck Model (CBM) is a methods for explaining neural networks. In CBM, concepts which correspond to reasons of outputs are inserted in the last intermediate layer as o…
stat.ML2020
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation
Naoki Hayashi
Latent Dirichlet allocation (LDA) obtains essential information from data by using Bayesian inference. It is applied to knowledge discovery via dimension reducing and clustering in…
math.ST2018
Variational Approximation Error in Bayesian Non-negative Matrix Factorization
Naoki Hayashi
Non-negative matrix factorization (NMF) is a knowledge discovery method that is used in many fields. Variational inference and Gibbs sampling methods for it are also wellknown. How…