Shimizu Shohei 清水昌平

… Alternative Names

SHIMIZU Shohei 清水昌平

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Researcher Number	10509871
Other IDs	https://orcid.org/0000-0002-1931-0733
Affiliation (Current)	2026: 大阪大学, 産業科学研究所, 教授
Affiliation (based on the past Project Information) *help	2025: 大阪大学, 産業科学研究所, 教授 2024: 滋賀大学, データサイエンス学部, 特任教授 2023 – 2024: 滋賀大学, データサイエンス学系, 特任教授 2022 – 2024: 滋賀大学, データサイエンス学系, 教授 2017 – 2021: 滋賀大学, データサイエンス学部, 教授 … More 2016 – 2017: 滋賀大学, データサイエンス学部, 准教授 2016: 滋賀大学, データサイエンス教育研究センター, 准教授 2012 – 2015: 大阪大学, 産業科学研究所, 准教授 2009 – 2012: Osaka University, 産業科学研究所, 助教 Less
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related / Statistical science / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 61030:Intelligent informatics-related / Statistical science Except Principal Investigator Intelligent informatics / Intelligent informatics / Statistical science / Medium-sized Section 61:Human informatics and related fields / A New Phase of Our Advanced Science and Technology Society / Intensification of Artifact Systems / Statistical science
Keywords	Principal Investigator 因果探索 / 因果推論 / 因果構造探索 / 統計的因果推論 / 機械学習 / 非ガウス性 / 構造方程式モデル / 分布シフト / デジタルツイン / 個体レベル … More / 最適介入 / 制御 / 説明性 / 時系列データ / 巡回性 / 統計的因果探索 / データサイエンス / 構造的因果モデル / 異質性 / 未観測共通原因 / 観察データ / 因果構造 / LiNGAM / 非ガウス / 因果方向推定 / 潜在共通原因 / 米国 / 国際情報交換 / 複数データセット / 統計数学 / 独立成分分析 … More Except Principal Investigator データマイニング / 機械学習 / 高次元データ / 超高次元データ / 統計的推定 / AI / 希少事象 / 知識発見 / 多変量解析 / リスク / 粒子フィルタ / 次元の呪い / ビッグデータ / 統計的因果推論 / 因果推論 / 信頼性 / 安全性 / 敵対的攻撃 / セキュリティ / 因果構造 / ポイズニング / 敵対的サンプル / 深層学習 / データ / 診断 / ＥＬＳＩ / 医療機器 / 仮名化 / ELSI / ＡＩ / 人間の尊厳 / 医療データ / 同意 / 責任 / 個人情報保護 / 生命倫理 / 人の尊厳 / AI医療 / 情報デザイン / 老年医学 / 臨床疫学 / ヘルスデータ / 健康コミュニティ / ヘルスシステム / IoT / 高齢者 / 人工物システム / 介護予防 / 疫学 / シミュレーション / 人工知能 / 画像検索 / 漸近理論 / 自然言語処理 / マルチモーダル / ニューラルネットワーク / 分散表現 / 次元削減 / グラフ埋め込み / パターン認識 / 大規模データ / 列挙探索 / 心疾患モデル / アンサンブル学習 / アンサンブル / サンプリング / モデリング / 降雨確率モデル / 河川水流モデル / 大規模洪水 / 希少シナリオ / 確率的シミュレーション / マルコフチェインモンテカルロ / 希少事象シミュレーション / 希少事象解析 / 災害 / 確率モデル / 分子系統学 / マルチスケール / ベイズ統計 / ブートストラップ・リサンプリング / GPGPU / 統計的推測 / ダイバージェンス / クロスバリデーション / 高次漸近理論 / 情報幾何 / モデル選択 / 仮説検定 / スケーリング則 / リサンプリング / ブートストラップ / 強い意味で無視可能 / 推定方程式の不偏性 / ベイズ推測 / Approximate Population Bias / NMARness / 因果と欠測 / ランダムな欠測 / 交絡変数 / 補助変数 / 欠測値問題とMAR / 無視可能性 / 統計教育 / 人口データ解析 / 潜在変数モデル / 大量欠測 / 因果と予測 / 2重中途打ち切り / 潜在交絡変数 / LiNGAM / NMAR / 無視できない欠測 / shared-parameter モデル / データ分布 / 確率密度関数 / 統計数理 / 知能発見 / 高速相関係数推定 / 少数事例データ / 因果ネットワーク / 大規模変数次元データ / 遺伝子発現度測定データ / 独立成分分析 / 遺子機能 / グラフマイニング / 知識ベース / 遺伝子機能 / 大規模次元 Less

デジタルツイン因果推論の研究とそれによる環境変化に頑健な機械学習実装の実現Principal Investigator
- Principal Investigator
  
  清水昌平
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
  Basic Section 61030:Intelligent informatics-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  The University of Osaka
Understanding Attack Mechanisms against AI through Causal Structures of Classification and Building Countermeasures
- Principal Investigator
  
  佐久間淳
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  Institute of Science Tokyo
Estimation and Applications of Cyclic Causal Models under Latent ConfoundingPrincipal Investigator
- Principal Investigator
  
  Shimizu Shohei
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Shiga University
Bioethics in AI - Overall Perspective and Direction for Future Researches in This Field
- Principal Investigator
  
  IDA Ryuichi
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  A New Phase of Our Advanced Science and Technology Society
- Research Institution
  Shiga University
Developing "happy aging community"by integrated health data
- Principal Investigator
  
  Fukuma Shingo
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Intensification of Artifact Systems
- Research Institution
  Kyoto University
Multivariate analysis of multi-domain data considering the association between data vectors
- Principal Investigator
  
  Shimodaira Hidetoshi
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  Kyoto University
  Osaka University
Causal discovery in the presence of hidden confounding variables for data with heterogeneityPrincipal Investigator
- Principal Investigator
  
  Shimizu Shohei
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  Shiga University
Model Mining: Exploration of search and enumeration methods of local models from super-high dimensional data
- Principal Investigator
  
  Washio Takashi
- Project Period (FY)
  2014 – 2015
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
Development and Application of Statistical Estimation and Simulation for Super High Dimensional Data Space
- Principal Investigator
  
  Washio Takashi
- Project Period (FY)
  2013 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
Computing confidence levels of many hypotheses for high-dimensional data
- Principal Investigator
  
  Shimodaira Hidetoshi
- Project Period (FY)
  2012 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Learning Probabilistic Simulation Models for Rare Event/Condition Occurrence
- Principal Investigator
  
  WASHIO Takashi
- Project Period (FY)
  2012 – 2013
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
Estimation of high-dimensional causal networks based on multiple datasets and its applications to biomedical sciencePrincipal Investigator
- Principal Investigator
  
  Shimizu Shohei
- Project Period (FY)
  2012 – 2015
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Establishment of Statistical Estimation Principle for Super HighDimensional Data and Its Application to Large Scale Data Mining
- Principal Investigator
  
  WASHIO Takashi
- Project Period (FY)
  2010 – 2012
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University
Statistical prediction, causation, incomplete data analysis and foundation of sciencee
- Principal Investigator
  
  KANO YUTAKA
- Project Period (FY)
  2010 – 2013
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Discovery of reliable causal structures in high-dimensional dataPrincipal Investigator
- Principal Investigator
  
  SHIMIZU Shohei
- Project Period (FY)
  2009 – 2011
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Osaka University
Development of Causal Structure Mining Method for Large Scale Dimensional Data and Construction of Gene Function Knowledge Base
- Principal Investigator
  
  WASHIO Takashi
- Project Period (FY)
  2007 – 2009
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Intelligent informatics
- Research Institution
  Osaka University

[Book] Statistical Causal Discovery: LiNGAM Approach2022
- Author(s)
  Shohei Shimizu
- Total Pages
  94
- Publisher
  Springer, Tokyo
- ISBN
  9784431557845
- Data Source
  KAKENHI-PROJECT-20K11708
[Book] 統計的因果探索2017
- Author(s)
  清水昌平
- Total Pages
  192
- Publisher
  講談社
- ISBN
  9784061529250
- Data Source
  KAKENHI-PROJECT-16K00045
[Book] 確率的グラフィカルモデル2016
- Author(s)
  黒木学，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，鈴木譲，植野真臣
- Total Pages
  292
- Publisher
  共立出版
- Data Source
  KAKENHI-PROJECT-16K00045
[Book] Consistency of penalized risk of boosting methods in binary classification, In New Trends in Psychometrics, Post Proceedings of IMPS2007: the 15th International and 72nd Annual Meeting of the Psychometric Society2009
- Author(s)
  K. Hayashi, Y. Shimizu, Y. Kano
- Publisher
  Psychometric Society (in press)
- Data Source
  KAKENHI-PROJECT-19200013
[Journal Article] Randomized controlled trial of an artificial intelligence diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice2025
- Author(s)
  Nakao E, Yoshio T, Kato Y, Namikawa K, Tokai Y, Yoshimizu S, Horiuchi Y, Ishiyama A, Hirasawa T, Kurihara N, Ishizuka N, Ishihara R, Tada T, Fujisaki J.
- Journal Title
  
  Endoscopy
  
  Volume: 57(3) Issue: 03 Pages: 210-217
- DOI
  10.1055/a-2421-3194
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20648
[Journal Article] Use of prior knowledge to discover causal additive models with unobserved variables and its application to time series data2024
- Author(s)
  Maeda Takashi Nicholas、Shimizu Shohei
- Journal Title
  
  Behaviormetrika
  
  Volume: - Issue: 2 Pages: 1-19
- DOI
  10.1007/s41237-024-00238-1
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11708, KAKENHI-PROJECT-23K16951
[Journal Article] Structure Learning for Groups of Variables in Nonlinear Time-Series Data with Location-Scale Noise2023
- Author(s)
  Genta Kikuchi, Shohei Shimizu
- Journal Title
  
  Proc. Causal Analysis Workshop 2023 (CAWS2023), PMLR
  
  Volume: 223 Pages: 20-39
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Linkages among the Foreign Exchange, Stock, and Bond Markets in Japan and the United States2023
- Author(s)
  Yi Jiang, Shohei Shimizu
- Journal Title
  
  Proceedings of the 2023 Causal Analysis Workshop Series, PMLR
  
  Volume: 223 Pages: 1-19
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Python package for causal discovery based on LiNGAM 著者2023
- Author(s)
  Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takashi Nicholas Maeda, Shohei Shimizu
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 24 Pages: 1-8
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Causal Discovery for Linear Mixed Data2022
- Author(s)
  Yan Zeng, Shohei Shimizu, Hidetoshi Matsui, Fuchun Sun
- Journal Title
  
  Proceedings of the First Conference on Causal Learning and Reasoning, PMLR
  
  Volume: 177 Pages: 994-1009
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Chemical-Mediated Microbial Interactions Can Reduce the Effectiveness of Time-Series-Based Inference of Ecological Interaction Networks2022
- Author(s)
  Suzuki Kenta、Abe Masato S.、Kumakura Daiki、Nakaoka Shinji、Fujiwara Fuki、Miyamoto Hirokuni、Nakaguma Teruno、Okada Mashiro、Sakurai Kengo、Shimizu Shohei、Iwata Hiroyoshi、Masuya Hiroshi、Nihei Naoto、Ichihashi Yasunori
- Journal Title
  
  International Journal of Environmental Research and Public Health
  
  Volume: 19 Issue: 3 Pages: 1228-1228
- DOI
  10.3390/ijerph19031228
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K06820, KAKENHI-PROJECT-20K11708, KAKENHI-PROJECT-21K19813
[Journal Article] CNN-GRU Based Deep Learning Model for Demand Forecast in Retail Industry2022
- Author(s)
  Kazuhi Honjo, Xiaokang Zhou, Shohei Shimizu
- Journal Title
  
  Proc. 2022 International Joint Conference on Neural Networks (IJCNN)
  
  Volume: - Pages: 1-8
- DOI
  10.1109/ijcnn55064.2022.9892599
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Estimating individual-level optimal causal interventions combining causal models and machine learning models2021
- Author(s)
  Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu
- Journal Title
  
  Proceedings of The KDD'21 Workshop on Causal Discovery, PMLR
  
  Volume: 150 Pages: 55-77
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Causal Discovery with Multi-Domain LiNGAM for Latent Factors2021
- Author(s)
  Zeng Yan、Shimizu Shohei、Cai Ruichu、Xie Feng、Yamamoto Michio、Hao Zhifeng
- Journal Title
  
  Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
  
  Volume: - Pages: 2097-2103
- DOI
  10.24963/ijcai.2021/289
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12648, KAKENHI-PROJECT-20K11708
[Journal Article] Causal additive models with unobserved variables2021
- Author(s)
  Takashi Nicholas Maeda, Shohei Shimizu
- Journal Title
  
  Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, PMLR
  
  Volume: 161 Pages: 97-106
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Nonlinear Causal Discovery for High-Dimensional Deterministic Data2021
- Author(s)
  Zeng Yan、Hao Zhifeng、Cai Ruichu、Xie Feng、Huang Libo、Shimizu Shohei
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume: - Issue: 5 Pages: 1-12
- DOI
  10.1109/tnnls.2021.3106111
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders2020
- Author(s)
  T. N. Maeda, S Shimizu
- Journal Title
  
  Proc. 23rd International Conference on Artificial Intelligence and Statistics (AISTATS2020)
  
  Volume: 1 Pages: 1-9
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders2020
- Author(s)
  Takashi Nicholas Maeda, Shohei Shimizu
- Journal Title
  
  Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics
  
  Volume: 108 Pages: 735-745
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Journal Article] Personalization Recommendation Algorithm Based on Trust Correlation Degree and Matrix Factorization2019
- Author(s)
  Li Weimin、Zhou Xiaokang、Shimizu Shohei、Xin Mingjun、Jiang Jiulei、Gao Honghao、Jin Qun
- Journal Title
  
  IEEE Access
  
  Volume: 7 Pages: 45451-45459
- DOI
  10.1109/access.2018.2885084
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] Multi-Modality Behavioral Influence Analysis for Personalized Recommendations in Health Social Media Environment2019
- Author(s)
  Zhou Xiaokang、Liang Wei、Wang Kevin I-Kai、Shimizu Shohei
- Journal Title
  
  IEEE Transactions on Computational Social Systems
  
  Volume: 6 Issue: 5 Pages: 888-897
- DOI
  10.1109/tcss.2019.2918285
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] Analysis of cause-effect inference by comparing regression errors2019
- Author(s)
  Blobaum Patrick、Janzing Dominik、Washio Takashi、Shimizu Shohei、Scholkopf Bernhard
- Journal Title
  
  PeerJ Computer Science
  
  Volume: 5 Pages: e169-e169
- DOI
  10.7717/peerj-cs.169
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045, KAKENHI-PROJECT-17K00305, KAKENHI-PROJECT-15H05711
[Journal Article] Cause-Effect Inference by Comparing Regression Errors2018
- Author(s)
  Patrick Bloebaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schoelkopf
- Journal Title
  
  Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS2018), PMLR
  
  Volume: 84 Pages: 900-909
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] Non-Gaussian Methods for Causal Structure Learning2018
- Author(s)
  Shimizu Shohei
- Journal Title
  
  Prevention Science
  
  Volume: 20 Issue: 3 Pages: 431-441
- DOI
  10.1007/s11121-018-0901-x
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K00045, KAKENHI-PROJECT-16H02789
[Journal Article] A novel principle for causal inference in data with small error variance2018
- Author(s)
  Patrick Bloebaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schoelkopf
- Journal Title
  
  Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR
  
  Volume: 84 Pages: 900-909
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16H02789
[Journal Article] A Novel Personalized Recommendation Algorithm Based on Trust Relevancy Degree2018
- Author(s)
  Li Weimin、Zhu Heng、Zhou Xiaokang、Shimizu Shohei、Xin Mingjun、Jin Qun
- Journal Title
  
  Proc. DASC/PiCom/DataCom/CyberSciTec2018
  
  Volume: 1 Pages: 418-422
- DOI
  10.1109/dasc/picom/datacom/cyberscitec.2018.00084
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] A novel principle for causal inference in data with small error variance2017
- Author(s)
  Blobaum Patrick、Shimizu Shohei、Washio Takashi
- Journal Title
  
  n Proc. 25 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2017),
  
  Volume: 1 Pages: 347-352
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] Learning instrumental variables with structural and non-Gaussianity assumptions2017
- Author(s)
  Ricard Silva, Shohei Shimizu
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 18 Pages: 1-49
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] Error asymmetry in causal and anticausal regression2017
- Author(s)
  Blobaum Patrick、Washio Takashi、Shimizu Shohei
- Journal Title
  
  Behaviormetrika
  
  Volume: 44 Issue: 2 Pages: 491-512
- DOI
  10.1007/s41237-017-0022-z
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045, KAKENHI-PROJECT-17K00305, KAKENHI-PROJECT-15H05711
[Journal Article] Estimation of interventional effects of features on prediction2017
- Author(s)
  Blobaum Patrick、Shimizu Shohei
- Journal Title
  
  Proc. 2017 IEEE Machine Learning for Signal Processing Workshop (MLSP2017)
  
  Volume: 1 Pages: 1-6
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] Non-Gaussian structural equation models for causal discovery2016
- Author(s)
  S. Shimizu
- Journal Title
  
  Statistics and Causality: Methods for Applied Empirical Research
  
  Volume: - Pages: 153-184
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00045
[Journal Article] Discriminative and Generative Models in Causal and Anticausal Settings2015
- Author(s)
  Patrick Blobaum, Shohei Shimizu, Takashi Washio
- Journal Title
  
  Advanced Methodologies for Bayesian Networks, Lecture Notes in Computer Science
  
  Volume: 9505 Pages: 209-221
- DOI
  10.1007/978-3-319-28379-1_15
- ISBN
  9783319283784, 9783319283791
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-24700275, KAKENHI-PROJECT-24300106
[Journal Article] A non-Gaussian approach for causal discovery in the presence of hidden common causes2015
- Author(s)
  Shohei Shimizu
- Journal Title
  
  Advanced Methodologies for Bayesian Networks, Lecture Notes in Computer Science
  
  Volume: 9505 Pages: 222-223
- DOI
  10.1007/978-3-319-28379-1_16
- ISBN
  9783319283784, 9783319283791
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-24700275, KAKENHI-PROJECT-24300106
[Journal Article] ParceLiNGAM : A causal ordering method robust against latent confounders2014
- Author(s)
  Tashiro, T., Shimizu, S., Hyvarinen, A. and Washio, T
- Journal Title
  
  Neural Computation
  
  Volume: 26(1) Issue: 1 Pages: 57-83
- DOI
  10.1162/neco_a_00533
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300096, KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24700275, KAKENHI-PROJECT-25240036
[Journal Article] Bayesian estimation of causal direction in acyclic structural equation models with individual-specific confounder variables and non-Gaussian distributions2014
- Author(s)
  S. Shimizu and K. Bollen
- Journal Title
  
  Journal of Machine LearningResearch
  
  Volume: 15 Pages: 2629-2652
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24300106
[Journal Article] Bayesian estimation of causal direction in acyclic structural equation models with individual-specific confounder variables and non-Gaussian distributions2014
- Author(s)
  Shohei Shimizu and Kenneth Bollen
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 15 Pages: 2629-2652
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-24700275
[Journal Article] Joint estimation of linear non-Gaussian acyclic models2012
- Author(s)
  S. Shimizu
- Journal Title
  
  Neurocomputing
  
  Volume: 81 Pages: 104-107
- DOI
  10.1016/j.neucom.2011.11.005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302, KAKENHI-PROJECT-24300106, KAKENHI-PROJECT-24700275
[Journal Article] Analyzing relationships among ARMA processes based on non-Gaussianity of external influences2011
- Author(s)
  Y. Kawahara, S. Shimizu, and T. Washio
- Journal Title
  
  eurocomputing
  
  Volume: 74(12-13) Pages: 2212-2221
- URL
  http://dx.doi.org/10.1016/j.neucom.2011.02.008
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302
[Journal Article] Analyzing relationships among ARMA processes based on non-Gaussianity of external influences2011
- Author(s)
  Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio
- Journal Title
  
  Neurocomputing
  
  Volume: Vol.74,No.12-13 Pages: 2212-2221
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300054
[Journal Article] DirectLiNGAM : A direct method for learning a linear non-Gaussian structural equation model2011
- Author(s)
  S.Shimizu, T.Inazumi, Y.Sogawa, A.Hyvarinen, Y.Kawahara, T.Washio, P.O.Hoyer, K.Bollen
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 12 Pages: 1225-1248
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302
[Journal Article] Analyzing Relationships among ARMA Processes Based on Non-Gaussianity of External Influences2011
- Author(s)
  Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio
- Journal Title
  
  Neurocomputing
  
  Volume: (Accepted)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300054
[Journal Article] Estimating exogenous variables in data with more variables than observations2011
- Author(s)
  Y.Sogawa, S.Shimizu, T.Shimamura, A.Hyvarinen, T.Washio and S.Imoto
- Journal Title
  
  Neural Networks
  
  Volume: 24(8) Pages: 875-880
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300054
[Journal Article] DirectLiNGAM : A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model2011
- Author(s)
  Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvarinen, Yoshinobu Kawahara, Takashi Washio, Patrik O.Hoyer, Kenneth Bollen
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: Vol.12 Pages: 1225-1248
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300054
[Journal Article] Analyzing relationships among ARMA processes based on non-Gaussianity of external influences2011
- Author(s)
  Y.Kawahara, S.Shimizu, T.Washio
- Journal Title
  
  Neurocomputing
  
  Volume: 74 Issue: 12-13 Pages: 2212-2221
- DOI
  10.1016/j.neucom.2011.02.008
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302, KAKENHI-PROJECT-22700147
[Journal Article] DirectLiNGAM : A direct method for learning a linear non-Gaussian structural equation model2011
- Author(s)
  S. Shimizu, T. Inazumi, Y. Sogawa, A. Hyvarinen, Y. Kawahara, T. Washio, P. O. Hoyer, and K. Bollen.
- Journal Title
  
  Journal of Machine Learning Research
  
  Pages: 1225-1248
- URL
  http://jmlr.csail.mit.edu/papers/volume12/shimizu11a/shimizu11a.pdf
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302
[Journal Article] Estimating exogenous variables in data with more variables than observations2011
- Author(s)
  Y. Sogawa, S. Shimizu, T. Shimamura, A. Hyvarinen, T. Washio, and S. Imoto
- Journal Title
  
  Neural Networks
  
  Volume: 24(8) Issue: 8 Pages: 875-880
- DOI
  10.1016/j.neunet.2011.05.017
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302, KAKENHI-PROJECT-22300054
[Journal Article] Estimation of a structural vector autoregression model using non-Gaussianity2010
- Author(s)
  A.Hyvarinen, K.Zhang, S.Shimizu, P.O.Hoyer
- Journal Title
  
  Journal of Machine Leanring Research
  
  Volume: 11 Pages: 1709-1731
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302
[Journal Article] Estimation of a structural vector autoregression model using non-Gaussianity2010
- Author(s)
  A. Hyvarinen, K. Zhang, S. Shimizu and P. O. Hoyer
- Journal Title
  
  Journal of Machine Learning Research
  
  Pages: 1709-1731
- URL
  http://jmlr.csail.mit.edu/papers/volume11/hyvarinen10a/hyvarinen10a.pdf
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302
[Journal Article] A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model2009
- Author(s)
  S.Shimizu, A.Hyvarinen, Y.Kawahata, T.Washio
- Journal Title
  
  Proceedings of the Twenty-Fifth Conference Conference on Uncertainty in Artificial Intelligence
  
  Pages: 506-513
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700302
[Journal Article] Estimation of linear non-Gaussian acyclic models for latent factors2009
- Author(s)
  S. Shimizu, P.O. Hoyer, A. Hyvarinen
- Journal Title
  
  Neurocomputing Vol.72
  
  Pages: 2024-2027
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19200013
[Journal Article] A direct method for estimating a causal ordering in a linear non-Gaussi an acyclic model2009
- Author(s)
  Shohei Shimizu, Aapo Hyvarinen, Yoshinobu Kawahara, Takashi Washio
- Journal Title
  
  Proc.Of UAI2009 : The 25th Conference on Uncetainty in Artificial Intelligence, Causality II & Graphical Models 1
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19200013
[Journal Article] Use of Non-Normality in Structural Equation Modeling: Application to Direction of Causation2008
- Author(s)
  S. Shimizu, Y. Kano
- Journal Title
  
  J. of Statistical Planning and Inference Vol.138
  
  Pages: 3483-3491
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] 統計的因果探索: 背景知識とデータから因果仮説を探索2025
- Author(s)
  清水昌平
- Organizer
  理化学研究所情報系研究会
- Invited
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 非ガウス性と非線形性に基づく統計的因果探索2024
- Author(s)
  清水昌平
- Organizer
  統計的因果推論研究の最先端
- Invited
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] Causal discovery based on non-Gaussianity and nonlinearity2024
- Author(s)
  Shohei Shimizu
- Organizer
  6th Pacific Causal Inference Conference (PCIC 2024)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 大規模言語モデルを活用した博士課程進学に関する因果探索の試行2023
- Author(s)
  高山正行, 小柴等, 前田高志ニコラス, 三内顕義, 清水昌平
- Organizer
  研究・イノベーション学会第38回年次学術大会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 大学別の博士課程進学等に関するデータセットの構築と統計的因果探索2023
- Author(s)
  高山正行, 小松尚登, ファムテトン, 前田高志ニコラス, 三内顕義, 小柴等, 清水昌平
- Organizer
  研究・イノベーション学会第38回年次学術大会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] Non-Gaussian methods for causal discovery2023
- Author(s)
  Shohei Shimizu
- Organizer
  16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023), Berlin. Organized Invited Session: Statistical Learning of Non-Gaussian Data
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 統計的因果探索アルゴリズム”LiNGAM”を用いた若手研究者支援政策に関する研究2022
- Author(s)
  高山正行, 小柴等, 前田高志ニコラス, 三内顕義, 清水昌平, 星野利彦
- Organizer
  研究・イノベーション学会第37回年次学術大会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 時系列データに対する予測モデルの介入効果の推定2022
- Author(s)
  藤原大悟, 小山和輝, 大川内智海, 泉谷知範, 浅原啓輔, 清水昌平
- Organizer
  第36回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 統計的因果探索: 領域知識とデータによる因果構造グラフの推測2022
- Author(s)
  清水昌平
- Organizer
  第18回愛媛大学DS研究セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 統計的因果探索とAI2022
- Author(s)
  清水昌平
- Organizer
  脳病態数理・データ科学セミナーシリーズ
- Invited
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] セミパラメトリックアプローチによる統計的因果探索2021
- Author(s)
  清水昌平
- Organizer
  人工知能学会第118回人工知能基本問題研究会 (SIG-FPAI)
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] Causal Discovery with Multi-Domain LiNGAM for Latent Factors2021
- Author(s)
  Y. Zeng, S. Shimizu, R. Cai, F. Xie, M. Yamamoto, Z. Hao
- Organizer
  Causal Analysis Workshop Series 2021 (CAWS2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 統計的因果探索: セミパラメトリックアプローチを中心に2021
- Author(s)
  清水昌平
- Organizer
  電子情報通信学会パターン認識・メディア理解（PRMU）研究会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] EBPMと統計的因果探索・数理モデルの利活用2021
- Author(s)
  高山正行, 小柴等, 前田高志ニコラス, 三内顕義, 清水昌平, 星野利彦
- Organizer
  研究・イノベーション学会第36回年次学術大会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] LiNGAM approach to causal discovery2021
- Author(s)
  S. Shimizu
- Organizer
  The KDD2021 Workshop on Causal Discovery (CD2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 統計的因果探索アルゴリズム”LiNGAM” を用いた若手研究者支援政策に関する研究2021
- Author(s)
  高山正行, 小柴等, 前田高志ニコラス, 三内顕義, 清水昌平, 星野利彦
- Organizer
  研究・イノベーション学会第36回年次学術大会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] プラントシミュレータを用いた時系列因果探索手法の評価2021
- Author(s)
  小山和輝, 藤原大悟, 切通恵介, 大川内智海, 泉谷知範, 浅原啓輔, 清水昌平
- Organizer
  電子情報通信学会パターン認識・メディア理解（PRMU）研究会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] Statistical Estimation of Gene Regulatory Network2020
- Author(s)
  Y. Imoto, Y. Hiraoka, S. Shimizu, T. Nicolas Maeda, Y. Kojima, M. Saitou
- Organizer
  JSPS Core-to-Core Program “Establishing International Research Network of Mathematical Oncology”
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] Linear non-Gaussian models with latent variables for causal discovery2020
- Author(s)
  Shohei Shimizu
- Organizer
  The 2020 Pacific Causal Inference Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] データ駆動による因果仮説探2020
- Author(s)
  清水昌平
- Organizer
  JST 研究開発戦略センター(CRDS)俯瞰セミナーシリーズ「機械学習と科学」
- Invited
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 因果探索という道具2020
- Author(s)
  清水昌平
- Organizer
  一般社団法人データサイエンティスト協会 7thシンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] Linear non-Gaussian models with latent variables for causal discovery2020
- Author(s)
  Shohei Shimizu
- Organizer
  The 2020 NeurIPS Workshop on Causal Discovery and Causality-Inspired Machine Learning
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] 時系列データに対する予測モデルの介入効果の推定2020
- Author(s)
  切通恵介, 紅林亘, 泉谷知範, 小山和輝, 木村大地, 大川内智海, 清水昌平
- Organizer
  第34回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K11708
[Presentation] Causal discovery based on non-Gaussianity of data and its applications2019
- Author(s)
  Shohei SHIMIZU
- Organizer
  日本行動計量学会第47回大会
- Invited
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] 統計的因果探索に基づく遺伝子制御ネットワークの推定2019
- Author(s)
  井元佑介, 平岡裕章，清水昌平，前田高志ニコラス，小島洋児，斎藤通紀
- Organizer
  応用数学合同研究集会2019
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] Causal discovery, prediction, and control2018
- Author(s)
  S. Shimizu
- Organizer
  Causal Modeling and Machine Learning (CaMaL) Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H02789
[Presentation] 因果探索、予測、そして制御2018
- Author(s)
  清水昌平
- Organizer
  応用統計学会
- Data Source
  KAKENHI-PROJECT-16H02789
[Presentation] 因果探索、予測、そして制御2018
- Author(s)
  清水昌平
- Organizer
  2018年度統計関連学会連合大会, 東京. 応用統計学会企画セッション: 「統計的因果推論―基本的なアイデアから最近の発展まで―」
- Invited
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] Causal discovery, prediction, and control2018
- Author(s)
  Shohei Shimizu
- Organizer
  Causal Modeling and Machine Learning (CaMaL) Workshop, Guangzhou, China.
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] Causal discovery, prediction mechanisms, and control2018
- Author(s)
  S. Shimizu
- Organizer
  The 5th meeting of the Institute of Mathematical Statistics (IMS) meeting series, the IMS Asia Pacific Rim Meeting (IMS-APRM)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H02789
[Presentation] Causal discovery, prediction mechanisms, and control2018
- Author(s)
  Shohei Shimizu
- Organizer
  he 5th meeting of the Institute of Mathematical Statistics (IMS) meeting series, the IMS Asia Pacific Rim Meeting (IMS-APRM), Singapore
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] 因果探索入門2017
- Author(s)
  清水昌平
- Organizer
  日本行動計量学会第20回春の合宿セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] 統計的因果推論への招待 - 因果構造探索を中心に -2017
- Author(s)
  清水昌平
- Organizer
  システム制御情報学会・計測自動制御学会チュートリアル講座2017
- Invited
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] Causal discovery and prediction mechanisms2017
- Author(s)
  Shohei Shimizu
- Organizer
  France/Japan Machine Learning Workshop
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] 因果構造探索の基本2017
- Author(s)
  清水昌平
- Organizer
  研究集会: 因果推論の基礎
- Place of Presentation
  統計数理研究所 (東京)
- Year and Date
  2017-02-17
- Invited
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] 因果探索への招待2017
- Author(s)
  清水昌平
- Organizer
  電子情報通信学会IA(インターネットアーキテクチャ)/IN(情報ネットワーク)併催研究会
- Invited
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] A non-Gaussian model for causal discovery in the presence of hidden common causes2016
- Author(s)
  Shimizu, Shohei
- Organizer
  Munich Workshop on Causal Inference and Information Theory
- Place of Presentation
  Munich (Germany)
- Year and Date
  2016-05-23
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H02789
[Presentation] 因果探索と非ガウス性2016
- Author(s)
  清水昌平
- Organizer
  第11回協定講座シンポジウム: 計算科学とビジュアル・アナリティクス
- Place of Presentation
  神戸大学 (兵庫県)
- Year and Date
  2016-03-06
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 因果探索: 基本から最近の発展までを概説2016
- Author(s)
  清水昌平
- Organizer
  第23回情報論的学習理論と機械学習研究会 (IBISML)
- Place of Presentation
  統計数理研究所 (東京都)
- Year and Date
  2016-03-17
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] Non-Gaussian structural equation models for causal discovery2016
- Author(s)
  Shohei Shimizu
- Organizer
  2016 Probabilistic Graphical Model Workshop: Sparsity, Structure and High-dimensionality
- Place of Presentation
  統計数理研究所 (東京都)
- Year and Date
  2016-03-23
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] A non-Gaussian approach for causal structure learning in the presence of hidden common causes2016
- Author(s)
  Shimizu, Shohei
- Organizer
  CRM Workshop: Statistical Causal Inference and its Applications to Genetics
- Place of Presentation
  Montreal (Canada)
- Year and Date
  2016-07-25
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H02789
[Presentation] Non-Gaussian structural equation models for causal discovery2016
- Author(s)
  Shohei Shimizu
- Organizer
  2016 Probabilistic Graphical Model Workshop: Sparsity, Structure and High-dimensionality
- Place of Presentation
  統計数理研究所（東京都・立川市）
- Year and Date
  2016-03-23
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] 因果探索: 観察データから因果仮説を探索する2016
- Author(s)
  清水昌平
- Organizer
  日本社会心理学会: 第3回春の方法論セミナー
- Place of Presentation
  上智大学 (東京都)
- Year and Date
  2016-03-16
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] A non-Gaussian approach for causal structure learning in the presence of hidden common causes2016
- Author(s)
  S. Shimizu
- Organizer
  CRM Workshop: Statistical Causal Inference and its Applications to Genetics
- Place of Presentation
  Montreal (Canada)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] Statistical estimation of causal directions based on observational data2016
- Author(s)
  Shohei Shimizu
- Organizer
  The 3rd CiNet Conference - Neural Mechanism of Decision Making: Achievements and New Directions
- Place of Presentation
  大阪大学 (大阪府)
- Year and Date
  2016-02-05
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] A non-Gaussian model for causal discovery in the presence of hidden common causes2016
- Author(s)
  S. Shimizu
- Organizer
  A non-Gaussian model for causal discovery in the presence of hidden common causes
- Place of Presentation
  Munich (Germany)
- Year and Date
  2016-05-23
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] Non-Gaussian methods for causal discove2016
- Author(s)
  Shohei Shimizu
- Organizer
  International Workshop on Causal Inference
- Place of Presentation
  統計数理研究所 (東京都)
- Year and Date
  2016-01-07
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 関係流動性と消費者自民族中心主義の因果構造分析～非ガウス性を使った因果推論2016
- Author(s)
  芳賀麻誉美, 清水昌平
- Organizer
  日本マーケティング・サイエンス学会第100回研究大会
- Place of Presentation
  ホテル阪急エキスポパーク＋大阪大学中之島センター (大阪)
- Year and Date
  2016-12-27
- Data Source
  KAKENHI-PROJECT-16K00045
[Presentation] Non-Gaussian methods for causal discovery2016
- Author(s)
  Shohei Shimizu
- Organizer
  International Workshop on Causal Inference
- Place of Presentation
  統計数理研究所（東京都・立川市）
- Year and Date
  2016-01-07
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] A non-Gaussian approach for causal discovery in the presence of hidden common causes2015
- Author(s)
  Shohei Shimizu
- Organizer
  Second Workshop on Advanced Methodologies for Bayesian Networks (AMBN2015)
- Place of Presentation
  慶應義塾大学 (神奈川県)
- Year and Date
  2015-11-17
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 非ガウス性を利用した因果構造探索2015
- Author(s)
  清水昌平
- Organizer
  2015年日本生態学会関東地区会シンポジウム「非ガウス性／非線形性／非対称性からの因果推論手法：その使いどころ・原理・実装を学ぶ」
- Place of Presentation
  東京大学 (東京都)
- Year and Date
  2015-08-06
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 構造方程式モデルによる因果探索と非ガウス性2015
- Author(s)
  清水昌平
- Organizer
  数学協働プログラム(数学・数理科学と諸科学・産業との協働によるイノベーション創出のための研究促進プログラム) ワークショップ: 確率的グラフィカルモデル
- Place of Presentation
  電気通信大学, 東京
- Year and Date
  2015-03-20
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 因果探索: データから因果の方向性等を調べる2015
- Author(s)
  清水昌平
- Organizer
  日本行動計量学会第43回大会
- Place of Presentation
  首都大学東京 (東京都)
- Year and Date
  2015-09-02
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] A non-Gaussian approach for estimating possible causal direction in the presence of latent confounders2014
- Author(s)
  S. Shimizu
- Organizer
  Conference on Statistics and Causality 2014
- Place of Presentation
  Vienna, Austria
- Year and Date
  2014-05-23
- Invited
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Estimation of causal direction in the presence of latent confounders and linear non-Gaussian structural equation models2014
- Author(s)
  S. Shimizu
- Organizer
  Causal Modeling and Machine Learning (Post-ICML workshop)
- Place of Presentation
  Beijing, China
- Year and Date
  2014-06-25
- Invited
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] 潜在クラスが存在する場合のベイズ的アプローチによる非ガウス因果構造推定法2014
- Author(s)
  田中直樹, 清水昌平, 鷲尾隆
- Organizer
  第28回人工知能学会全国大会
- Place of Presentation
  ひめぎんホール, 愛媛
- Year and Date
  2014-05-13
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] A performance comparison of generative and discriminative models in causal and anticausal problems2014
- Author(s)
  Patrick Blobaum, Shohei Shimizu, and Takashi Washio
- Organizer
  Seventeenth International Conference on Artificial Intelligence and Statistics
- Place of Presentation
  レイキャビック（アイスランド）
- Year and Date
  2014-04-22
- Data Source
  KAKENHI-PROJECT-26540116
[Presentation] Estimation of causal direction in the presence of latent confounders and linear non-Gaussian structural equation models2014
- Author(s)
  Shohei Shimizu
- Organizer
  Causal Modeling and Machine Learning (Post-ICML workshop)
- Place of Presentation
  Beijing, China
- Year and Date
  2014-06-25
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] A performance comparison of generative and discriminative models in causal and anticausal problems2014
- Author(s)
  Blobaum P., Shimizu S., and Washio T.
- Organizer
  Seventeenth International Conference on Artificial Intelligence and Statistics
- Place of Presentation
  レイキャビック（アイスランド）
- Year and Date
  2014-04-22
- Data Source
  KAKENHI-PROJECT-25240036
[Presentation] A non-Gaussian approach for estimating possible causal direction in the presence of latent confounders2014
- Author(s)
  Shohei Shimizu
- Organizer
  Conference on Statistics and Causality 2014
- Place of Presentation
  Vienna, Austria
- Year and Date
  2014-05-23
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] Estimation of Causal Structures in Longtudinal Data Using Non-Gaussianity2013
- Author(s)
  Kento Kadowaki, Shohei Shimizu and Takashi Washio
- Organizer
  Proc. of 2013 IEEE International Workshop on Machine Learning for Signal Processing
- Place of Presentation
  Southermpton, United Kingdom
- Data Source
  KAKENHI-PROJECT-25240036
[Presentation] Estimation of causal direction in the presence of latent confounders using a Bayesian LiNGAM mixture model2013
- Author(s)
  N. Tanaka, S. Shimizu and T. Washio
- Organizer
  Causality: Perspectives from Different Disciplines
- Place of Presentation
  Vals (Switzerland)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] K. Kadowaki, S. Shimizu and T. Washio2013
- Author(s)
  K. Kadowaki, S. Shimizu and T. Washio
- Organizer
  23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP2013)
- Place of Presentation
  Southampton (United Kingdom)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 潜在交絡変数が存在する場合のベイズ的アプローチによる非ガウス因果構造推定法2013
- Author(s)
  田中直樹, 清水昌平, 鷲尾隆
- Organizer
  第27回人工知能学会全国大会
- Place of Presentation
  富山国際会議場(富山)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 経時データにおける非ガウス性を用いた因果構造探索2013
- Author(s)
  門脇健人, 清水昌平, 鷲尾隆
- Organizer
  第27回人工知能学会全国大会
- Place of Presentation
  富山国際会議場(富山)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] Estimation of causal direction in the presence of latent confounders using a Bayesian LiNGAM mixture model2013
- Author(s)
  Naoki Tanaka, Shouhei Shimizu and Takashi Washio
- Organizer
  Causality: Perspectives from different disciplines
- Place of Presentation
  Vals, Switzerland
- Invited
- Data Source
  KAKENHI-PROJECT-25240036
[Presentation] 複数データセットによる非ガウス構造方程式モデルの推定2012
- Author(s)
  清水昌平
- Organizer
  科研費シンポジウム「生体数理・社会数理の統計科学」
- Place of Presentation
  早稲田大学(東京)
- Year and Date
  2012-03-02
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders2012
- Author(s)
  T. Tashiro, S. Shimizu, Aapo Hyvarinen, T. Washio
- Organizer
  22nd Int. Conf. on Articial Neural Networks (ICANN2012)
- Place of Presentation
  Lausanne (Switzerland)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 複数データセットによる非ガウス構造方程式モデルの推定2012
- Author(s)
  清水昌平
- Organizer
  情報統計力学の最前線ー情報と揺らぎの制御の物理学を目指してー
- Place of Presentation
  京都大学(京都)(招待講演)
- Year and Date
  2012-03-21
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Bootstrap confidence intervals in DirectLiNGAM2012
- Author(s)
  Kittitat Thamvitayakul, Shohei Shimizu, Tsuyoshi Ueno, Takashi Washio and Tatsuya Tashiro
- Organizer
  RIKD: Workshop on Reliability Issues in Knowledge Discovery, ICDM 2012. The IEEE International Conference on Data Mining
- Place of Presentation
  Brussels, Belgium
- Data Source
  KAKENHI-PROJECT-24650069
[Presentation] Bootstrap confidence intervals in Direct LINGAM2012
- Author(s)
  K. Thamvitayakul, S. Shimizu, T. Ueno, T. Washio, T. Tashiro
- Organizer
  Int. Conf. on Data Mining Workshops (ICDMW2012)
- Place of Presentation
  Brussels (Belgium)
- Year and Date
  2012-12-10
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] 非ガウス性を用いた線形非巡回なデータ生成過程部分の発見と同定2012
- Author(s)
  田代竜也, 清水昌平, 鷲尾隆
- Organizer
  第26回人工知能学会全国大会
- Place of Presentation
  山口県教育会館(山口県)
- Year and Date
  2012-06-15
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] 非ガウス性を用いた線形非巡回なデータ生成過程部分の発見と同定2012
- Author(s)
  田代竜也, 清水昌平, 鷲尾隆
- Organizer
  第26回人工知能学会全国大会
- Place of Presentation
  山口県教育会館 (山口)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 構造方程式モテ〓ルによる因果構造探索:非カ〓ウス性の利用2012
- Author(s)
  清水昌平
- Organizer
  情報統計力学の最前線-情報と揺らぎの制御の物理学を目指して-
- Place of Presentation
  京都大学(京都)(招待講演)
- Year and Date
  2012-03-21
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Bootstrap confidence intervals in DirectLiNGAM2012
- Author(s)
  K. Thamvitayakul, S. Shimizu, T. Ueno, T. Washio, T. Tashiro
- Organizer
  2012 IEEE 12th International Conference on Data Mining Workshops (ICDMW2012)
- Place of Presentation
  Brussels (Belgium)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] Bootstrapping confidence intervals in linear non-Gaussian causal model2012
- Author(s)
  Kittitat Thamvitayakul, 清水昌平鷲尾隆, 田代竜也
- Organizer
  第26回人工知能学会全国大会
- Place of Presentation
  山口県教育会館(山口県)
- Year and Date
  2012-06-15
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] 非ガウス構造方程式モデルにおける因果順序の推定: 潜在交絡変数に頑健な方法2012
- Author(s)
  田代竜也, 清水昌平, Aapo Hyvarinen, 鷲尾隆
- Organizer
  第3回Latent Dynamicsワークショップ
- Place of Presentation
  東京大学 (東京)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] Estimation of causal orders in a linear non-Gaussian acyclic model : amethod robust against latent confounders2012
- Author(s)
  T. Tashiro, S. Shimizu, Aapo Hyvarinen, T. Washio
- Organizer
  Int. Conf. on Articial Neural Networks(ICANN2012)
- Place of Presentation
  Lausanne (Switzerland)
- Year and Date
  2012-09-13
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] 非ガウス性を用いた線形非巡回なデータ生成過程部分の発見と同定2012
- Author(s)
  田代竜也, 清水昌平, 鷲尾隆
- Organizer
  2012年人工知能学会全国大会，4B1-R-2-6
- Place of Presentation
  山口県山口市
- Data Source
  KAKENHI-PROJECT-22300054
[Presentation] 構造方程式モデルによる因果推論: 因果構造探索に関する最近の発展2012
- Author(s)
  清水昌平
- Organizer
  日本行動計量学会第40回大会
- Place of Presentation
  新潟県立大学 (新潟)
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] Bootstrapping confidence intervals in linear non-Gaussian causal model2012
- Author(s)
  Kittitat Thamvitayakul, 清水昌平, 鷲尾隆, 田代竜也
- Organizer
  第26回人工知能学会全国大会
- Place of Presentation
  山口県教育会館 (山口)
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] 因果構造探索と非ガウス構造方程式モデル2012
- Author(s)
  清水昌平
- Organizer
  人工知能学会第87回人工知能基本問題研究会 (SIG-FPAI)
- Place of Presentation
  慶應義塾大学 (神奈川)
- Invited
- Data Source
  KAKENHI-PROJECT-24700275
[Presentation] Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders2012
- Author(s)
  Tatsuya Tashiro, Shohei Shimizu, Aapo Hyv¨arinen, Takashi Washio
- Organizer
  Artificial Neural Networks and Machine Learning – ICANN 2012, Part I, pp. 491-498
- Place of Presentation
  Lausanne, Switzerland
- Data Source
  KAKENHI-PROJECT-22300054
[Presentation] Bootstrapping confidence intervals in linear non-Gaussian causal model2012
- Author(s)
  Thamvitayakul Kittitat, 清水昌平, 鷲尾隆, 田代竜也
- Organizer
  2012年人工知能学会全国大会
- Place of Presentation
  山口県山口市
- Data Source
  KAKENHI-PROJECT-24650069
[Presentation] 定常時系列データの非ガウス性を用いたARMAモデルによる変数間決定関係の解析2011
- Author(s)
  田代竜也, 清水昌平, 河原吉伸, 鷲尾隆
- Organizer
  第25回人工知能学会全国大会
- Place of Presentation
  いわて県民情報交流センター(盛岡)
- Year and Date
  2011-06-02
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] 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～2011
- Author(s)
  鈴木譲, 清水昌平, 鷲尾隆
- Organizer
  第14回情報論的学習理論ワークショップ
- Place of Presentation
  奈良女子大学(奈良)
- Year and Date
  2011-11-10
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] 分割表の独立性に基づく二値データ生成過程の推定法2011
- Author(s)
  稲積孝紀, 鷲尾隆, 清水昌平, 鈴木譲, 山本章博, 河原吉伸
- Organizer
  第14回情報論的学習理論ワークショップ
- Place of Presentation
  奈良女子大学(奈良)
- Year and Date
  2011-11-10
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Discovering causal structures in binary exclusive-or skew acyclic model2011
- Author(s)
  T.Inazumi, T.Washio, S.Shimizu, J.Suzuki, A.Yamamoto, Y.Kawahara
- Organizer
  27th Conf.on Un-certainty in Articial Intelligence
- Place of Presentation
  Barcelona (Spain)
- Year and Date
  2011-07-16
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Discovering causal structures in binary exclusive-or skew acyclic models. 27th Conf2011
- Author(s)
  T. Inazumi, T. Washio, S. Shimizu, J. Suzuki, A. Yamamoto and Y. Kawahara
- Organizer
  27th Conf. on Uncertainty in Artificial Intelligence(UAI2011)
- Place of Presentation
  バルセロナ(スペイン)
- Year and Date
  2011-07-16
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Discovering causal structures in binary exclusive-or skew acyclic models2011
- Author(s)
  T.Inazumi, T.Washio, S.Shimizu, J.Suzuki, A.Yamamoto and Y.Kawahara
- Organizer
  Proc. 27th Conf. on Uncertainty in Artificial Intelligence (UAI2011)
- Place of Presentation
  Barcelona, Spain
- Year and Date
  2011-07-16
- Data Source
  KAKENHI-PROJECT-22300054
[Presentation] Analyzing relationships between CTARMA and ARMA models2011
- Author(s)
  Marina Domeshko, 鷲尾隆, 河原吉伸, 清水昌平
- Organizer
  第25回人工知能学会全国大会
- Place of Presentation
  いわて県民情報交流センター(盛岡)
- Year and Date
  2011-06-02
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Discovering Causal Structures in Binary Exclusive-or Skew Acyclic Models2011
- Author(s)
  Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
- Organizer
  UAI2011 : The 27th Conference on Uncertainty in Artificial Intelligence
- Place of Presentation
  Barcelona, Spain
- Year and Date
  2011-07-16
- Data Source
  KAKENHI-PROJECT-22300054
[Presentation] 二値データに対するデータ生成過程の推定2011
- Author(s)
  稲積孝紀, 鷲尾隆, 清水昌平, 鈴木譲, 山本章博, 河原吉伸
- Organizer
  第25回人工知能学会全国大会
- Place of Presentation
  いわて県民情報交流センター(盛岡)
- Year and Date
  2011-06-02
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Non-Gaussian methods for learning linear structural equation models2010
- Author(s)
  S. Shimizu and Y. Kawahara
- Organizer
  26th Conference on Uncertainty in Artificial Intelligence(UAI2010)
- Place of Presentation
  カタナリーナ島(米国)(招待チュートリアル)
- Year and Date
  2010-07-08
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Use of prior knowledge in a non-Gaussian method for learning linear structural equation models2010
- Author(s)
  T.Inazumi, S.Shimizu, T.Washio
- Organizer
  9th Int.Conf.on Latent Variable Analysis and Signal Separation (LVA/ICA2010)
- Place of Presentation
  Saint-Malo (France)
- Year and Date
  2010-09-28
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Assessing statistical reliability of LiNGAM via multiscale bootstrap2010
- Author(s)
  Y.Komatsu, S.Shimizu, H.Shimodaira.
- Organizer
  Int.Conf.on Artificial Neural Networks (ICANN2010)
- Place of Presentation
  Thessaloniki (Greece)
- Year and Date
  2010-09-15
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Use of prior knowledge in a non-Gaussian method for learning linear structural equation models2010
- Author(s)
  T. Inazumi, S. Shimizu and T. Washio
- Organizer
  9th Int. Conf. on Latent Variable Analysis and Signal Separation(LVA/ ICA2010)
- Place of Presentation
  サンマロ(フランス)
- Year and Date
  2010-09-28
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] An experimental comparison of linear non-Gaussian causal discovery methods and their variants2010
- Author(s)
  Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio
- Organizer
  Proc.of IJCNN2010 : WCCI 2010 IEEE World Congress on Computational Intelligence, Joint Conference on Neural Networks
- Place of Presentation
  Barcelona, Spain
- Year and Date
  2010-07-23
- Data Source
  KAKENHI-PROJECT-22300054
[Presentation] データの非正規性を活用する因果構造探索法と事前情報の利用2010
- Author(s)
  稲積孝紀、十河泰弘、清水昌平、河原吉伸、鷲尾隆
- Organizer
  第24回人工知能学会全国大会
- Place of Presentation
  長崎ブリックホール(長崎)
- Year and Date
  2010-06-09
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Discovery of exogenous variables in data with more variables than observations2010
- Author(s)
  Y.Sogawa, S.Shimizu, A.Hyvarinen, T.Washio, T.Shimamura, S.Imoto
- Organizer
  Int.Conf.on Artificial Neural Networks (ICANN2010)
- Place of Presentation
  Thessaloniki (Greece)
- Year and Date
  2010-09-17
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] 構造方程式モデルによるデータ生成過程の学習,特に非ガウス性の利用2010
- Author(s)
  清水昌平
- Organizer
  第13回情報論的学習理論ワークショップ(IBIS2010)
- Place of Presentation
  東京大学(東京)
- Year and Date
  2010-11-04
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Washio. An experimental comparison of linear non-Gaussian causal discovery methods and their variants2010
- Author(s)
  Y. Sogawa, S. Shimizu, Y. Kawahara and T. Washio
- Organizer
  Int. Joint Conf. on Neural Networks(IJCNN2010), part of the IEEE World Congress on Computational Intelligence(WCCI2010)
- Place of Presentation
  バルセロナ(スペイン)
- Year and Date
  2010-07-23
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models2010
- Author(s)
  Takanori Inazumi, Shohei Shimizu, Takashi Washio
- Organizer
  Proc.of LVA/ICA2010 : Ninth International Conference on Latent Variable Analysis and Signal Separation
- Place of Presentation
  Malo(France)
- Year and Date
  2010-09-28
- Data Source
  KAKENHI-PROJECT-22300054
[Presentation] ブートストラップ確率の計算誤差を修正するためのマルチスケール・ブートストラップ法:LiNGAM因果構造推定の場合2010
- Author(s)
  小松勇介, 下平英寿, 清水昌平
- Organizer
  2010年度統計関連学会連合大会
- Place of Presentation
  早稲田大学(東京)
- Year and Date
  2010-09-06
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Assessing statistical reliability of LiNGAM via multiscale bootstrap2010
- Author(s)
  Y. Komatsu, S. Shimizu and H. Shimodaira
- Organizer
  20^<th> Int. Conf. on Artificial Neural Networks(ICANN2010)
- Place of Presentation
  テッサロニキ(ギリシャ)
- Year and Date
  2010-09-15
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] ブートストラップ確率の計算誤差を修正するためのマルチスケール・ブートストラップ法: LiNGAM因果構造推定の場合2010
- Author(s)
  小松勇介、下平英寿、清水昌平
- Organizer
  2010年度統計関連学会連合大会
- Place of Presentation
  早稲田大学(東京)
- Year and Date
  2010-09-06
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Non-Gaussian methods for learning linear structural equation models2010
- Author(s)
  S.Shimizu, Y.Kawahara
- Organizer
  The 26th Conference on Uncertainty in Artificial Intelligence (UAI2010)
- Place of Presentation
  Catalina Island, California (U.S.A).(招待講演)
- Year and Date
  2010-07-08
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Discovery of Exogenous Variables in Data with More Variables than Observations2010
- Author(s)
  Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvarinen, Takashi Washio, Teppei Shimamura, Seiya Imoto
- Organizer
  Proc.of ICANN2010 : 20th International Conference on Artificial Neural Networks
- Place of Presentation
  Thessaloniki(Greece)
- Year and Date
  2010-09-17
- Data Source
  KAKENHI-PROJECT-22300054
[Presentation] Discovery of exogenous variables in data with more variables than observations2010
- Author(s)
  Y. Sogawa, S. Shimizu, A. Hyvarinen, T. Washio, T. Shimamura and S. Imoto
- Organizer
  20^<th> Int. Conf. on Artificial Neural Networks(ICANN2010)
- Place of Presentation
  テッサロニキ(ギリシャ)
- Year and Date
  2010-09-17
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] An experimental comparison of linear non-Gaussian causal discovery methods and their variants2010
- Author(s)
  Y.Sogawa, S.Shimizu, Y.Kawahara, T.Washio
- Organizer
  Int.Joint Conf.on Neural Networks (IJCNN2010), part of the IEEE World Congress on Computational Intelligence (WCCI2010)
- Place of Presentation
  Barcelona (Spain)
- Year and Date
  2010-07-23
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] 統計的大規模因果推論の課題と非ガウス性に基づく挑戦2009
- Author(s)
  鷲尾隆, 清水昌平, 河原吉伸, 猪口明博
- Organizer
  第75回人工知能学会基本問題研究会(SIG-FPAI), (社)人工知能学会
- Place of Presentation
  電気通信大学(東京都)
- Year and Date
  2009-11-13
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] Consistency of penalized risk of boosting methods in binary classification2009
- Author(s)
  K. Hayashi, S. Shimizu, Y. Kano
- Organizer
  In New Trends in Psychometrics, Post Proceedings of IMPS2007: the 15th International and 72nd Annual Meeting of the Psychometric Society
- Place of Presentation
  Tower Hall Funabori(Tokyo)
- Year and Date
  2009-07-11
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model2009
- Author(s)
  S. Shimizu, A. Hyvarinen, Y. Kawahara and T. Washio
- Organizer
  25th Conf. on Uncertainty in Artificial Intelligence(UAI2009)
- Place of Presentation
  モントリオール(カナダ)
- Year and Date
  2009-06-21
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] 独立成分分析を用いた外生的発現遺伝子同定解析2009
- Author(s)
  十河泰弘, 清水昌平, 鷲尾隆, 井元清哉
- Organizer
  人工知能学会第23回全国大会(JSAI 2009)
- Place of Presentation
  サンポートホール高松(香川県)
- Year and Date
  2009-06-18
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] Identification of an Exogenous Variable in a Linear non-Gaussian Structural Equation Model2009
- Author(s)
  Shohei Shimizu, Aapo Hyvarinen, Yoshinobu Kawahara, Takashi Washio
- Organizer
  The International Workshop on Data Mining and Statistical Science (DMSS2009)
- Place of Presentation
  Tokyo Institute of Technology (Tokyo)
- Year and Date
  2009-07-08
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] マルチスケール・ブートストラップを用いた信頼度計算:LiNGAMによる因果モデル探索の場合2009
- Author(s)
  小松勇介, 清水昌平, 下平英寿
- Organizer
  2009年度統計関連学会連合大会
- Place of Presentation
  同志社大学(京都府
- Year and Date
  2009-09-07
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] 独立成分分析を用いた外生的発現遺伝子同定解析2009
- Author(s)
  十河泰弘、清水昌平、鷲尾隆、井元清哉
- Organizer
  第23回人工知能学会全国大会
- Place of Presentation
  サンポート高松(高松)
- Year and Date
  2009-06-18
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] マルチスケール・ブートストラップを用いた信頼度計算: LiNGAMによる因果モデル探索の場合2009
- Author(s)
  小松勇介、清水昌平、下平英寿
- Organizer
  2009年度統計関連学会連合大会
- Place of Presentation
  同志社大学(京都)
- Year and Date
  2009-09-07
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Identification of an exogenous vriable in a linear non-Gaussian structural equation model2009
- Author(s)
  S.Shimizu, A.Hyvarinen, Y.Kawahara, T.Washio
- Organizer
  The Fourth International Workshop on Data-Mining and Statistical Science
- Place of Presentation
  京大会館(京都府)
- Year and Date
  2009-07-08
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] Identification of an exogenous variable in a linear non-Gaussian structural equation model2009
- Author(s)
  S. Shimizu, A. Hyvarinen, Y. Kawahara and T. Washio
- Organizer
  The Fourth International Workshop on Data-Mining and Statistical Science(DMSS2009)
- Place of Presentation
  京大会館(京都)
- Year and Date
  2009-07-08
- Data Source
  KAKENHI-PROJECT-21700302
[Presentation] A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model2009
- Author(s)
  S. Shimizu, A. Hyvinen, Y. Kawahara, T. Washio
- Organizer
  Proc. of UAI2009: 25th Conf. on Uncertainty in Artificial Intelligence, Causality II & Graphical Models
- Place of Presentation
  Montreal(Canada)
- Year and Date
  2009-06-21
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] Penalized boosting algorithm for mislabeled data (Invited)2008
- Author(s)
  K. Hayashi, S. Shimizu, Y. Kano
- Organizer
  IMPS2008: the 73rd Annual Meeting of the Psychometric Society
- Place of Presentation
  Greensboro(USA)
- Year and Date
  2008-06-30
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] Penalized boosting algorithm for mislabeled data2008
- Author(s)
  K. Hayashi, Y. Shimizu, Y. Kano
- Organizer
  IMPS2008 : the 73rd Annual Meeting of the Psychometric Society (Invited)
- Place of Presentation
  New Hampshire, USA
- Year and Date
  2008-06-29
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] Interval estimations based on normalizing transformations by two approaches2008
- Author(s)
  Y. Konya, S. Shimizu, Y. Kano
- Organizer
  IMPS2008: the 73rd Annual Meeting of the Psychometric Society
- Place of Presentation
  New Hampshire(USA)
- Year and Date
  2008-06-29
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] Interval estimations based on normalizing transformations by two approaches2008
- Author(s)
  Y. Konya, Y. Shimizu, Y. Kano
- Organizer
  IMPS2008 : the 73rd Annual Meeting of the Psychometric Society
- Place of Presentation
  New Hampshire, USA
- Year and Date
  2008-06-29
- Data Source
  KAKENHI-PROJECT-19200013
[Presentation] 経時データにおける非ガウス性を用いた因果構造探索
- Author(s)
  門脇健人, 清水昌平, 鷲尾隆
- Organizer
  第27回人工知能学会全国大会
- Place of Presentation
  富山国際会議場 (富山県富山市)
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Estimation of causal direction in the presence of latent confounders using a Bayesian LiNGAM mixture model
- Author(s)
  N. Tanaka, S. Shimizu, T. Washio
- Organizer
  Causality: Perspectives from Different Disciplines
- Place of Presentation
  Hotel Therme Vals （Vals, Switzerland)
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] 潜在交絡変数が存在する場合のベイズ的アプローチによる非ガウス因果構造推定法
- Author(s)
  田中直樹, 清水昌平, 鷲尾隆
- Organizer
  第27回人工知能学会全国大会
- Place of Presentation
  富山国際会議場 (富山県富山市)
- Data Source
  KAKENHI-PROJECT-24300106
[Presentation] Estimation of causal structures in longitudinal data using non-Gaussianity
- Author(s)
  K. Kadowaki, S. Shimizu, T. Washio
- Organizer
  23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP2013)
- Place of Presentation
  Chilworth Manor Hotel & Conference Centre (Southampton, United Kingdom)
- Data Source
  KAKENHI-PROJECT-24300106

1. WASHIO Takashi (00192815)

# of Collaborated Projects: 6 results

# of Collaborated Products: 23 results
2. KAWAHARA Yoshinobu (00514796)

# of Collaborated Projects: 5 results

# of Collaborated Products: 10 results
3. INOKUCHI Akihiro (70452456)

# of Collaborated Projects: 4 results

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4. KANO Yutaka (20201436)

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5. Shimodaira Hidetoshi (00290867)

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6. IBA Yutaka (30213200)

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7. Fukuma Shingo (60706703)

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8. IMOTO Seiya (10345027)

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10. TERMIER Alexandlre (60435823)

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13. DEGUCHI Yasuo (20314073)

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14. HAMAZAKI Toshimitsu (40379243)

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16. SUGIMOTO Tomoyuki (70324829)

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17. TAKAI Keiji (20572019)

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18. NAITO Kanta (80304252)

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19. KANAMORI Takafumi (60334546)

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20. IDA Ryuichi (40127543)

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21. Michael E.Houle (90399270)

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37. YAMAMOTO Michio

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38. SONG Xinyuan

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40. HYVARINEN Aapo

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42. Ting Kai Ming

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43. 鈴木健大

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Shimizu Shohei 清水 昌平

SHIMIZU Shohei 清水 昌平

Research Projects

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Co-Researchers

デジタルツイン因果推論の研究とそれによる環境変化に頑健な機械学習実装の実現Principal Investigator

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Estimation and Applications of Cyclic Causal Models under Latent ConfoundingPrincipal Investigator

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Causal discovery in the presence of hidden confounding variables for data with heterogeneityPrincipal Investigator

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Estimation of high-dimensional causal networks based on multiple datasets and its applications to biomedical sciencePrincipal Investigator

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Discovery of reliable causal structures in high-dimensional dataPrincipal Investigator

Shimizu Shohei 清水昌平

SHIMIZU Shohei 清水昌平

[Book] 確率的グラフィカルモデル2016