Joe Suzuki

Profile Information

Affiliation: Osaka University

Degree: (BLANK)

Researcher number: 50216397
J-GLOBAL ID: 200901063694786600
researchmap Member ID: 1000185916

Research Interests

Research Areas

Research History

Apr, 2017 - Present

大阪大学大学院基礎工学研究科教授
Apr, 2017 - Present

Professor, Osaka University Graduate School of Engineering Science Department of Systems Innovation
Apr, 2007 - Mar, 2017

Associate Professor, Osaka University Graduate School of Science Department of Mathematics
Apr, 2007 - Mar, 2016

Associate Professor, Osaka University
Apr, 1998 - Mar, 2007

Associate Professor, Osaka University Graduate School of Science Department of Mathematics
Apr, 1998 - Mar, 2007

大阪大学大学院理学研究科助教授
2007

- 大阪大学大学院理学研究科准教授
2007

- Associate Professor, Osaka University
Sep, 2001 - Aug, 2002

Yale大学客員助教授
Feb, 1998 - Apr, 1998

Brown大学客員科学者
Apr, 1995 - Mar, 1998

大阪大学大学院理学研究科講師
Sep, 1995 - Mar, 1997

Stanford大学客員講師
Apr, 1994 - Mar, 1995

大阪大学理学部講師
Apr, 1992 - Mar, 1994

青山学院大学理工学部助手
Apr, 1989 - Mar, 1992

早稲田大学理工学部助手

Committee Memberships

Awards

Aug, 2023

杉山明子賞(出版賞), 日本行動計量学会
Aug, 2019

林知己夫賞(優秀賞), 日本行動計量学会

Papers

Extending Hilbert-Schmidt Independence Criterion for Testing Conditional Independence.

Bingyuan Zhang, Joe Suzuki

Entropy, 25(3) 425-425, Mar, 2023 Peer-reviewed
Dropout Drops Double Descent.

Tianle Yang, Joe Suzuki

CoRR, abs/2305.16179, 2023
Converting ADMM to a proximal gradient for efficient sparse estimation

Ryosuke Shimmura, Joe Suzuki

Japanese Journal of Statistics and Data Science, 5(2) 725-745, Dec, 2022 Peer-reviewed
The Functional LiNGAM.

Tianle Yang, Joe Suzuki

PGM, 25-36, 2022 Peer-reviewed
Efficient Proximal Gradient Algorithms for Joint Graphical Lasso.

Jie Chen, Ryosuke Shimmura, Joe Suzuki

Entropy, 23(12) 1623-1623, Dec, 2021 Peer-reviewed
An Efficient Algorithm for Convex Biclustering

Jie Chen, Joe Suzuki

Mathematics, 9(23), Nov, 2021 Peer-reviewed
Causal Order Identification to Address Confounding: Binary Variables.

Joe Suzuki, Yusuke Inaoka

Behaviormetrika, 49(1) 5-21, Sep, 2021 Peer-reviewedLead author
Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables

Joe Suzuki

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 13(4), Jul, 2021 Peer-reviewedLead author
Sparse Estimation with Math and R - 100 Exercises for Building Logic

Joe Suzuki

1-234, 2021
Mutual Information Estimation: Independence Detection and Consistency.

Joe Suzuki

IEEE International Symposium on Information Theory(ISIT), 2514-2518, 2019 Peer-reviewed
Forest Learning from Data and its Universal Coding

Joe Suzuki

IEEE Transactions on Information Theory, 64(12), Dec, 2018 Peer-reviewed
Branch and Bound for Continuous Bayesian Network Structure Learning

Joe Suzuki

Sep, 2018 Peer-reviewed
Branch and Bound for Regular Bayesian Network Structure learning

Uncertainty in Artificial Intelligence, 212-221, Aug, 2017 Peer-reviewedLead author
Klein's fundamental 2-form of second kind for the $C_{ab}$ curves

Joe Suzuki

Symmetry Integrability and Geometry Methods and Applications, Mar, 2017 Peer-reviewed
A Theoretical Analysis of the BDeu Scores in Bayesian Network Structure Learning

Joe Suzuki

Behaviormetrika, 1(1) 1-20, Jan, 2017 Peer-reviewed
An Estimator of Mutual Information and its Application to Independence Testing

Joe Suzuki

Entropy, 16(4) 104-104, Mar, 2016 Peer-reviewed
Forest Learning Based on the Chow-Liu Algorithm and Its Application to Genome Differential Analysis: A Novel Mutual Information Estimation

Joe Suzuki

Lecture Notes on Artificial Intelligence, 9505 234-249, Nov, 2015 Peer-reviewed
Efficiently Learning Bayesian Network Structures Based on the B&B Strategy: A Theoretical Analysis

Joe Suzuki

Lecture Notes on Artificial Intelligence, 9505 1-14, Nov, 2015 Peer-reviewed
Consistency of Learning Bayesian Network Structures with Continuous Variables: An Information Theoretic Approach

Joe Suzuki

Entropy, 15(8) 5752-5770, Aug, 2015 Peer-reviewed
Bayes Independence Test

Takanori Ayano, Joe Suzuki

Nov, 2014

Misc.

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)

Suzuki Joe

人工知能基本問題研究会, 100 74-79, Mar 27, 2016
ベイジアンネットワークにおける代数幾何

鈴木譲

人工知能学会誌, Vol. 25, No. 6, Nov, 2010 Invited
田中和之「ベイジアンネットワークの統計的推論の数理」

鈴木譲

数理科学, No. 566, Aug, 2010 Invited
ベイジアンネットワーク入門

鈴木譲

培風館, Jul, 2009
Mathematics of Information and Coding

Joe Suzuki

AMS, 2001

Books and Other Publications

Kernel methods for machine learning with Math and Python : 100 exercises for building logic

Joe, Suzuki

Springer, 2022 (ISBN: 9789811904004)
Kernel methods for machine learning with Math and R : 100 exercises for building logic

鈴木, 譲

Springer, 2022 (ISBN: 9789811903977)
機械学習のためのカーネル100問with Python

鈴木, 譲

共立出版, Dec, 2021 (ISBN: 9784320125131)
機械学習のためのカーネル100問with R

鈴木, 譲

共立出版, Nov, 2021 (ISBN: 9784320125124)
スパース推定100問with Python

鈴木, 譲

共立出版, Jan, 2021 (ISBN: 9784320125094)
Sparse estimation with math and R : 100 exercises for building logic

鈴木, 譲

Springer, 2021 (ISBN: 9789811614453)
Statistical learning with math and Python : 100 exercises for building logic

鈴木, 譲

Springer, 2021 (ISBN: 9789811578762)
Sparse estimation with math and Python : 100 exercises for building logic

鈴木, 譲

Springer, 2021 (ISBN: 9789811614378)
スパース推定100問with R

鈴木, 譲

共立出版, Oct, 2020 (ISBN: 9784320125087)
統計的機械学習の数理100問with R

鈴木, 譲

共立出版, Apr, 2020 (ISBN: 9784320125063)
統計的機械学習の数理100問with Python

鈴木, 譲

共立出版, Apr, 2020 (ISBN: 9784320125070)
Statistical learning with math and R : 100 exercises for building logic

鈴木, 譲

Springer, 2020 (ISBN: 9789811575679)
Lecture Notes on Computer Science 9505: Advanced Methodologies for Bayesian Networks

Joe Suzuki, Maomi Ueno (Role: Joint editor)

Springer, Nov, 2016
確率的グラフィカルモデル

鈴木, 譲, 植野, 真臣, 黒木, 学(工学), 清水, 昌平, 湊, 真一, 石畠, 正和, 樺島, 祥介, 田中, 和之, 本村, 陽一, 玉田, 嘉紀

共立出版, Jul, 2016 (ISBN: 9784320111394)
ベイジアンネットワーク入門 : 確率的知識情報処理の基礎

鈴木, 譲

培風館, Jul, 2009 (ISBN: 9784563015756)
Mathematics of Bayesian Networks

Joe Suzuki

Baihukan, Jul, 2009
Mathematics of Information and Coding

Han Te Sun, Kingo Kobayashi, Joe Suzuki, ranslation (Role: Sole translator)

AMS, Nov, 2001

Presentations

E-learning Design and Development for Data Science in Osaka University

Joe Suzuki

Nov, 2017 Invited
Conditional Mutual Information Estimation and its application to Conditional Independence Detection

Joe Suzuki

Sep, 2017 Invited
Structure Learning of Bayesian Networks with p Nodes from n Samples when n<<p

Joe Suzuki

Mar, 2016 Invited
確率的グラフィカルモデルにおける構造学習

鈴木譲

Mar, 2015 Invited
The MDL principle for arbitrary data:either discrete or continuous or none of them

Joe Suzuki

Aug, 2013 Invited
"It is not enough to use stationary ergodic source for analyzing universal Coding"

ISITA '98, Mexico City, Mexico, 1998
"On the Error Probability of Model Selection for Classification"

IEEE ISIT-97, Ulm, Germany, 1997
"Minimizing Minimax Redundancy for Sources with Unknown Model

IEEE ISIT-93, 1993
"A Universal Coding Scheme Based on Minimizing Minimax Redundancy for Sources with Unknown Model

ISITA-92, 1992

Teaching Experience

264

2020

Advanced Course in Data Sciences II
2020

Thesis Work
2020

Special Research in Mathematical Science Ⅱ
2020

Mathcomp Ｂ
2020

Statistical Analysis
2020

Special Research in Mathematical Science Ⅰ
2020

Special Research in Mathematical Science Ⅳ
2020

Special Research in Mathematical Science Ⅵ
2020

Special Research in Mathematical Science Ⅴ
2020

Special Research in Mathematical Science Ⅲ
2020

Mathematical Science Research IV
2020

Mathematical Science Research III
2020

Mathematical Science Research II
2020

Mathematical Science Research I
2020

Mathematical Science Seminar IV
2020

Mathematical Science Seminar III
2020

Mathematical Science Seminar II
2020

Mathematical Science Seminar I
2020

Applied Mathematical Science C
2020

Mathematics D

Professional Memberships

Works

Research Projects

Generalization of LiNGAM for confounding

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2022 - Mar, 2026
連続変量を含む相互情報量の推定と、グラフィカルモデルの構築への応用

科学研究費助成事業, 基盤研究(C), 日本学術振興会, Apr, 2018 - Mar, 2023

鈴木譲
ベイジアンネットワークの構造学習で、離散と連続の属性が混在する場合

2012
ベイジアンネットワークの構造学習の一致性に関する研究

2009
モンテカルロ法における安全な疑似乱数の研究

文部科学省, 2006
Statistical Estimation Theory for Quantum Channels

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, 2003 - 2005

FUJIWARA Akio, SUGIMOTO Mitsuru, KONNO Kazuhiro, SUZUKU Joe, MABUCHI Toshiki, WATANABE Takao
モンテカルロ法における安全な疑似乱数の研究

JSPS, 2005
Multivariable multifractal analysis

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 2000 - 2003

TAKAHASHI Satoshi, FUJIWARA Akio, SUZUKI Joe, KAMO Hiroyasu
代数曲線における離散対数問題と情報セキュリティ

基盤研究B, 2001
Hausdorff 次元を用いたユニバーサルデータ圧縮の評価

萌芽的研究, 2001
代数曲線暗号の評価に関する研究

電気通信普及財団, 2000
数式処理による代数曲線のヤコビ多様体の整数論

科学研究費助成事業, 萌芽的研究, 日本学術振興会, 1998 - 1999

山本芳彦, 小川裕之, 佐竹郁夫, 鈴木譲
Learning Baysian Networks based on the MDL principle

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, 1997 - 1998

SUZUKI Joe, SATAKE Ikuo, KIKUCHI Kazunori, TAKAHASHI Satoshi, NAGATOMO Kiyokazu, MURAKAMI Jun
代数曲線における離散対数問題

1998
事前知識を考慮したベイジアンネットワークの効率的学習

基盤研究C, 1998
単項式イデアルの極小自由分解の研究

科学研究費助成事業, 一般研究(C), 日本学術振興会, 1995 - 1995

日比孝之, 和久井道久, 小川裕之, 鈴木讓, 村上順, 松村昭孝
Arithmetics on Jacobian Varieties

Grants-in-Aid for Scientific Research, Grant-in-Aid for General Scientific Research (B), Japan Society for the Promotion of Science, 1994 - 1995

YAMAMOTO Yoshihiko, OGAWA Hiroyuki, MURAKAMI Jun, KIYOKAZU Nagatomo, HIRAMINE Yutaka, MATSUMURA Akitaka
MDL原理に基づくBayesion Networkの自動生成

科学研究費助成事業, 奨励研究(A), 日本学術振興会, 1994 - 1994

鈴木讓
MDL原理に基づくベイジアンネットワークの学習

奨励研究A, 1994
ベイジアンネットワークを用いたデータマイニング

1993

Industrial Property Rights

2000-215120 代数曲線公開鍵暗号化法

鈴木譲, 原澤隆一

Academic Activities

Behaviormetrika, Springer（Coordinate Editor）

Planning, management, etc.

Apr, 2016 - Present
電子情報通信学会情報論的学習理論研究専門委員会（研究専門委員長）

Planning, management, etc.

May, 2005 - Present
人工知能学会基本問題研究会（幹事）

Planning, management, etc.

Apr, 2004 - Present
電子情報通信学会（和文DII 小特集「情報論的学習理論」(2004年12月発行) 編集委員）

Planning, management, etc.

Mar, 2004 - Present
電子情報通信学会（情報システムソサイエティ誌編集委員(2003年5月から)）

Planning, management, etc.

May, 2003 - Present
電子情報通信学会（和文A 論文誌編集委員）

Planning, management, etc.

May, 2001 - Present
Advanced Methodologies for Bayesian Networks 2017

Planning, management, etc.

京都大学数理解析研究所、産業技術総合研究所人工知能研究センター, Sep, 2017
Uncertainty in Artificial Intelligence 2017

Planning, management, etc.

Association of Uncertainty in Artificial Intelligence, Aug, 2017
Artificial Intelligence and Statistics 2017

Planning, management, etc.

Artificial Intelligence and Statistics, May, 2017
Journal of Applied & Computational Mathematics（Executive Editor）

Planning, management, etc.

Apr, 2011 - Dec, 2016
数学協働プログラム「確率的グラフィカルモデルの産業界への応用」

Planning, management, etc.

文部科学省, Nov, 2016
Uncertainty in Artificial Intelligence 2016

Planning, management, etc.

Association of Uncertainty in Artificial Intelligence, Jul, 2016
Artificial Intelligence and Statistics 2016

Planning, management, etc.

Artificial Intelligence and Statistics, May, 2016
Advanced Methodologies for Bayesian Networks 2015

Planning, management, etc.

人工知能学会、産業秘術総合研究所人工知能研究センター, Nov, 2015
Uncertainty in Artificial Intelligence 2015

Planning, management, etc.

Association of Uncertainty in Artificial Intelligence, Jul, 2015
Artificial Intelligence and Statistics 2015

Planning, management, etc.

Artificial Intelligence and Statistics, May, 2015
数学協働プログラム「確率的グラフィカルモデル」

Planning, management, etc.

文部科学省, Mar, 2015
Neural Information Processing Systems Conference and Workshops

Planning, management, etc.

Neural Information Processing Systems Foundation, Dec, 2014
Uncertainty in Artificial Intelligence

Planning, management, etc.

Association of Uncertainty in Artificial Intelligence, Jul, 2014
Artificial Intelligence and Statistics 2014

Planning, management, etc.

Artificial Intelligence and Statistics, Apr, 2014

Profile Information

Research Interests

Research Areas

Research History

Committee Memberships

Awards

Papers

Misc.

Books and Other Publications

Presentations

Teaching Experience

Professional Memberships

Works

Research Projects

Industrial Property Rights

Academic Activities

Menu

Coauthors