Shuichi Kawano

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 19

Top Topics

Principal Component Regression

Sparsity Inducing

Top Venues

Comput. Stat. Data Anal.

Publications

Akira Okazaki, Shuichi Kawano
Multi-task learning regression via convex clustering. Comput. Stat. Data Anal. 195 (2024)
Akira Okazaki, Shuichi Kawano
Multi-task learning via robust regularized clustering with non-convex group penalties. CoRR (2024)
Kohei Yoshikawa, Shuichi Kawano
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization. Comput. Stat. 38 (1) (2023)
Kohei Yoshikawa, Shuichi Kawano
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization. Comput. Stat. 38 (1) (2023)
Kazuaki Murayama, Shuichi Kawano
Sparse Bayesian Learning With Weakly Informative Hyperprior and Extended Predictive Information Criterion. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Daeju Kim, Shuichi Kawano, Yoshiyuki Ninomiya
Smoothly varying regularization. Comput. Stat. Data Anal. 179 (2023)
Akira Okazaki, Shuichi Kawano
Multi-Task Learning for Compositional Data via Sparse Network Lasso. Entropy 24 (12) (2022)
Kaito Shimamura, Shuichi Kawano
A Bayesian approach to multi-task learning with network lasso. CoRR (2021)
Hisao Yoshida, Shuichi Kawano, Yoshiyuki Ninomiya
Discriminant Analysis via Smoothly Varying Regularization. KES-IDT (2021)
Shuichi Kawano
Sparse principal component regression via singular value decomposition approach. Adv. Data Anal. Classif. 15 (3) (2021)
Kaito Shimamura, Shuichi Kawano
Bayesian sparse convex clustering via global-local shrinkage priors. Comput. Stat. 36 (4) (2021)
Shengyi Wu, Kaito Shimamura, Kohei Yoshikawa, Kazuaki Murayama, Shuichi Kawano
Variable Fusion for Bayesian Linear Regression via Spike-and-slab Priors. KES-IDT (2021)
Kohei Yoshikawa, Shuichi Kawano
Multilinear Common Component Analysis via Kronecker Product Representation. Neural Comput. 33 (10) (2021)
Shuichi Kawano
Sparse principal component regression via singular value decomposition approach. CoRR (2020)
Kohei Yoshikawa, Shuichi Kawano
Multilinear Common Component Analysis via Kronecker Product Representation. CoRR (2020)
Kazuaki Murayama, Shuichi Kawano
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion. CoRR (2020)
Kaito Shimamura, Shuichi Kawano
Bayesian sparse convex clustering via global-local shrinkage priors. CoRR (2019)
Kohei Yoshikawa, Shuichi Kawano
Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization. CoRR (2019)
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi
Sparse principal component regression for generalized linear models. Comput. Stat. Data Anal. 124 (2018)
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi
Sparse principal component regression with adaptive loading. Comput. Stat. Data Anal. 89 (2015)
Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano, Maomi Ueno
Constraint-Based Learning Bayesian Networks Using Bayes Factor. AMBN@JSAI-isAI (2015)
Daeju Kim, Shuichi Kawano, Yoshiyuki Ninomiya
) trend filtering. Comput. Stat. 29 (5) (2014)
Shuichi Kawano
Semi-supervised logistic discrimination via labeled data and unlabeled data from different sampling distributions. Stat. Anal. Data Min. 6 (6) (2013)
Shuichi Kawano, Toshihiro Misumi, Sadanori Konishi
Semi-Supervised Logistic Discrimination Via Graph-Based Regularization. Neural Process. Lett. 36 (3) (2012)
Shuichi Kawano, Teppei Shimamura, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Ryo Yoshida, Cristin G. Print, Satoru Miyano
Identifying Gene Pathways Associated with Cancer Characteristics via Sparse Statistical Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (4) (2012)
Shuichi Kawano, Teppei Shimamura, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Ryo Yoshida, Cristin G. Print, Satoru Miyano
Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning. BIBM (2010)
Shuichi Kawano, Sadanori Konishi
Nonlinear Logistic Discrimination Via Regularized Gaussian Basis Expansions. Commun. Stat. Simul. Comput. 38 (7) (2009)