Michio Yamamoto

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 7

Top Topics

Causal Discovery

Penalized Likelihood

Factor Analysis

Matrix Factorization

Top Venues

Comput. Stat. Data Anal.

Pattern Recognit.

Publications

Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS (2021)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI (2021)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR (2020)
Yoshikazu Terada, Michio Yamamoto
Kernel Normalized Cut: a Theoretical Revisit. ICML (2019)
Michio Yamamoto, Heungsun Hwang
Dimension-Reduced Clustering of Functional Data via Subspace Separation. J. Classif. 34 (2) (2017)
Michio Yamamoto, Kenichi Hayashi
-regularized likelihood maximization. Pattern Recognit. 48 (12) (2015)
Kei Hirose, Michio Yamamoto
Sparse estimation via nonconcave penalized likelihood in factor analysis model. Stat. Comput. 25 (5) (2015)
Kei Hirose, Michio Yamamoto
Estimation of an oblique structure via penalized likelihood factor analysis. Comput. Stat. Data Anal. 79 (2014)
Michio Yamamoto, Yoshikazu Terada
Functional factorial K-means analysis. Comput. Stat. Data Anal. 79 (2014)
Michio Yamamoto
Clustering of functional data in a low-dimensional subspace. Adv. Data Anal. Classif. 6 (3) (2012)