Suzuki Joe

スズキジョウ | Suzuki Joe

Affiliation and department：

Research field (5)： Statistical science , Mathematical informatics , Communication and network engineering , Algebra , Intelligent informatics

Research keywords (2)：情報セキュリティ , データマイニング

Research theme for competitive and other funds (31)：

Show all

Papers (108)：

Lirui Liu, Joe Suzuki. Learning under singularity: an information criterion improving WBIC and sBIC. Japanese Journal of Statistics and Data Science. 2024
Joe Suzuki, Tian-Le Yang. Generalization of LiNGAM that allows confounding. International Symposium on Information Theory. 2024
Ryosuke Shimmura, Joe Suzuki. Newton-Type Methods with the Proximal Gradient Step for Sparse Estimation. Oper. Res. Forum. 2024. 5. 2. 27-27
Ashraful Islam, Joe Suzuki. Forest construction of Gaussian and discrete variables with the application of Watanabe Bayesian Information Criterion. Behaviormetrika. 2024. 51. 2. 589-616
Tian-Le Yang, Kuang-Yao Lee, Kun Zhang, Joe Suzuki. Functional linear non-Gaussian acyclic model for causal discovery. Behaviormetrika. 2024. 51. 2. 567-588

ｍore...

MISC (7)：

Suzuki Joe. Efficient Bayesian Network Structure Learning for Maximizing the Posterior Probability (特集「命題論理の充足可能性問題SATと応用技術」および一般). 人工知能基本問題研究会. 2016. 100. 74-79
鈴木譲, 清水昌平, 鷲尾隆. Causal Discovery between Discrete and Continuous Variables. 人工知能基本問題研究会. 2014. 94. 35-40
鈴木譲, 清水昌平, 鷲尾隆. 離散データの因果の同定 : 2値から、多値への一般化について-情報論的学習理論と機械学習. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2011. 111. 275. 207-212
鈴木譲. ベイジアンネットワークにおける代数幾何. 人工知能学会誌. 2010. Vol. 25, No. 6
鈴木譲. 田中和之「ベイジアンネットワークの統計的推論の数理」. 数理科学. 2010. No. 566

ｍore...

Patents (1)：

Books (21)：

渡辺澄夫ベイズ理論100問with Python/Stan
共立出版 2024 ISBN:9784320125155
WAIC and WBIC with Python Stan: 100 Exercises for Building Logic
Springer 2023
WAIC and WBIC with R Stan 100: Exercises for Building Logic
Springer 2023
渡辺澄夫ベイズ理論100問with R/Stan
共立出版 2023 ISBN:9784320125148
Kernel methods for machine learning with Math and Python : 100 exercises for building logic
Springer 2022 ISBN:9789811904004

ｍore...

Lectures and oral presentations (9)：

E-learning Design and Development for Data Science in Osaka University
(2017)
Conditional Mutual Information Estimation and its application to Conditional Independence Detection
(2017)
Structure Learning of Bayesian Networks with p Nodes from n Samples when n<<p
(2016)
確率的グラフィカルモデルにおける構造学習
(2015)
The MDL principle for arbitrary data:either discrete or continuous or none of them
(2013)

ｍore...

Works (18)：

ｍore...

Professional career (1)：

Work history (15)：

2017/04 - 現在大阪大学大学院基礎工学研究科教授
2017/04/01 - 現在 Osaka University Graduate School of Engineering Science Department of Systems Innovation Professor
2007/04/01 - 2017/03/31 Osaka University Graduate School of Science Department of Mathematics Associate Professor
2007/04 - 2016/03 Associate Professor, Osaka University
1998/04/01 - 2007/03/31 Osaka University Graduate School of Science Department of Mathematics Associate Professor

Show all

Committee career (2)：

Awards (2)：

Association Membership(s) (6)：

日本計算機統計学会 , 日本数学会 , 人工知能学会(Japan Society of Artificial Intelligence) , AAAI (American Association for Artificial Intelligence) , 日本統計学会 , 日本行動計量学会

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page