Updated on 2021/11/02

写真a

 
MATSUI Kota
 
Organization
Graduate School of Medicine Program in Integrated Medicine Clinical Pharmacology Lecturer
Graduate School
Graduate School of Medicine
Undergraduate School
School of Medicine Department of Medicine
Title
Lecturer

Degree 1

  1. Information Science ( 2017.3   Nagoya University ) 

Research Interests 2

  1. Biostatistics

  2. Machine Learning

Research Areas 2

  1. Informatics / Mathematical informatics  / Machine Learning

  2. Informatics / Statistical science  / Biostatistics

Research History 1

  1. Project Researcher, Nagoya Institute of Technology / JST CREST

    2014.4 - 2015.3

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    Country:Japan

Education 1

  1. Nagoya University   Graduate School, Division of Information Science

    2011.4 - 2014.3

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    Country: Japan

Professional Memberships 2

  1. The Institute of Electronics, Information and Communication Engineers(IEICE)

  2. The Biometric Society of Japan

Committee Memberships 1

  1. 日本計量生物学会   企画委員  

    2019 - 2020   

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    Committee type:Academic society

 

Papers 8

  1. Variable Selection for Nonparametric Learning with Power Series Kernels Reviewed

    Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi and Takafumi Kanamori

    Neural Computation     2019.8

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  2. Postoperative stroke and neurological outcomes in the early phase after revascularization surgeries for moyamoya disease: an age-stratified comparative analysis Reviewed

    Araki Yoshio, Yokoyama Kinya, Uda Kenji, Kanamori Fumiaki, Kurimoto Michihiro, Shiba Yoshiki, Mamiya Takashi, Nishihori Masahiro, Izumi Takashi, Sumitomo Masaki, Okamoto Sho, Matsui Kota, Emoto Ryo, Wakabayashi Toshihiko, Matsui Shigeyuki, Natsume Atsushi

    Neurosurgical Review     2021.1

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    Language:English   Publishing type:Research paper (scientific journal)  

  3. シリコンエピタキシャル成長プロセスへのベイズ最適化応用 Reviewed

    沓掛健太朗, 長田圭一, 松井孝太, 山本純

    応用物理     2020.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  4. Adaptive Bayesian optimization for epitaxial growth of Si thin films under various constraints Reviewed

    Keiichi Osada, Kentaro Kutsukake, Jun Yamamoto, Shigeo Yamashita, Takashi Kodera, Yuta Nagai, Tomoyuki Horikawa, Kota Matsu, iIchiro Takeuchi, Toru Ujihara

    Materials Today Communications     2020.12

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    Language:English   Publishing type:Research paper (scientific journal)  

  5. Empirical Bayes Estimation of Semi-parametric Hierarchical Mixture Models for Unbiased Characterization of Polygenic Disease Architectures Invited Reviewed

    Jo Nishino, Yuta Kochi, Daichi Shigemizu, Mamoru Kato, Katsunori Ikari, Hidenori Ochi, Hisashi Noma, Kota Matsui, Takashi Morizono, Keith A Boroevich, Tatsuhiko Tsunoda, Shigeyuki Matsui

    Frontiers in genetics     2018

  6. A novel scoring system for predicting the neurologic prognosis prior to the initiation of induced hypothermia in cases of post-cardiac arrest syndrome : the CAST score Reviewed

    Mitsuaki Nishikimi, Naoyuki Matsuda, Kota Matsui, Kunihiko Takahashi, Tadashi Ejima, Keibun Liu, Takayuki Ogura, Michiko Higashi, Hitoshi Umino, Go Makishi, Atsushi Numaguchi, Satoru Matsushima, Hideki Tokuyama, Mitsunobu Nakamura, Shigeyuki Matsui

    Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine     2017.5

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1186/s13049-017-0392-y

  7. Parallel distributed block coordinate descent methods based on pairwise comparison oracle Reviewed

    Kota Matsui, Wataru Kumagai and Takafumi Kanamori

    Journal of Global Optimization     2016.9

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    This paper provides a block coordinate descent algorithm to solve unconstrained optimization problems. Our algorithm uses only pairwise comparison of function values, which tells us only the order of function values over two points, and does not require computation of a function value itself or a gradient. Our algorithm iterates two steps: the direction estimate step and the search step. In the direction estimate step, a Newton-type search direction is estimated through a block coordinate descent-based computation method with the pairwise comparison. In the search step, a numerical solution is updated along the estimated direction. The computation in the direction estimate step can be easily parallelized, and thus, the algorithm works efficiently to find the minimizer of the objective function. Also, we theoretically derive an upper bound of the convergence rate for our algorithm and show that our algorithm achieves the optimal query complexity for specific cases. In numerical experiments, we show that our method efficiently finds the optimal solution compared to some existing methods based on the pairwise comparison.

    DOI: 10.1007/s10898-016-0465-x

  8. Association of genetic variants with coronary artery disease and ischemic stroke in a longitudinal population-based genetic epidemiological study Reviewed

    Yoshiji Yamada, Kota Matsui, Ichiro Takeuchi, Mitsutoshi Oguri and Tetsuo Fujimaki

    Biomedical Reports   Vol. 3 ( 3 ) page: 413-419   2015.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.3892/br.2015.440

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Books 1

  1. データ分析の進め方及びAI・機械学習導入の指南〜データ収集・前処理・分析・評価結果の実務レベル対応〜

    ( Role: Contributor ,  第2章, 第3節, 第1項 "機械学習による統計的実験計画")

    情報機構  2020 

Presentations 8

  1. 転移学習の基礎と医学研究への応用:外部のデータや知識を有効に取り入れるための機械学習" Invited

    松井孝太

    第1回AI・データイノベーションセミナー  2021.3.11 

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    Event date: 2021.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  2. 転移学習の基本概念:異なるタスク間での知識転移のための機械学習 Invited

    松井孝太

    第42回情報論的学習理論と機械学習研究会  2021.3.4 

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    Event date: 2021.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  3. 転移学習の発展と応用(基本概念からメタ学習, 継続学習まで) Invited

    松井孝太

    パターン認識・メディア理解研究会 (PRMU),  2020.12 

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    Event date: 2020.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  4. 転移学習の基礎:学習理論的側面から適用事例紹介まで Invited

    松井孝太

    第93回データサイエンスセミナー  2020.12.11 

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    Event date: 2020.12

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  5. Siエピタキシャル成長プロセスにおける適応的な制約を用いたベイズ最適化

    長田圭一,沓掛健太朗,山本純,山下茂雄,小寺崇,永井勇太,堀川智之,松井孝太,竹内一郎,宇治原徹

    第81回応用物理学会秋季学術講演会  2020.9 

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    Event date: 2020.9

    Language:Japanese   Presentation type:Oral presentation (general)  

  6. 構造出力の逆問題のためのベイズ的能動学習

    松井孝太,草川隼也,安藤圭理,沓掛健太朗,宇治原徹,竹内一郎

    第34回人工知能学会全国大会  2020.6 

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    Event date: 2020.6

    Language:Japanese   Presentation type:Oral presentation (general)  

  7. 償却推論に基づいた継続学習

    川島寛乃,河野慎,熊谷亘,松井孝太,中澤仁

    第34回人工知能学会全国大会  2020.6 

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    Event date: 2020.6

    Language:Japanese   Presentation type:Oral presentation (general)  

  8. Neural Process によるメタ学習に基づくベイズ最適化

    河野慎,熊谷亘,松井孝太,岩澤有祐,松尾豊

    第34回人工知能学会全国大会  2020.6 

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    Event date: 2020.6

    Language:Japanese   Presentation type:Oral presentation (general)  

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KAKENHI (Grants-in-Aid for Scientific Research) 2

  1. 小データな多ドメイン間での知識共有のための機械学習手法の開発とその応用

    Grant number:20K19871  2020.4 - 2024.3

    若手研究

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\4290 ( Direct Cost: \3300 、 Indirect Cost:\990 )

  2. 高次元・大規模・多ドメインデータの特徴抽出と情報統合による統計的学習

    Grant number:19H04071  2019.4 - 2024.3

    基盤研究(B)

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    Authorship:Coinvestigator(s)  Grant type:Competitive

 

Teaching Experience (On-campus) 3

  1. 基礎医学セミナー

    2020

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    研究室配属された学生の研究活動支援

  2. 医薬統合プログラム

    2020

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    機械学習の考え方と医学研究における深層学習の応用について

  3. 社会医学 : 統計学III, 統計学IV

    2020

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    離散的変量の統計解析(割合と率,効果指標の推定と検定), 標準化, 交絡調整など生物統計学の基本事項

 

Social Contribution 3

  1. 機械学習による統計的実験計画~ベイズ最適化を中心に~

    Role(s):Lecturer

    株式会社トリケップス  2021.1

  2. ベイズ最適化の基礎と応用およびPythonによる実装

    Role(s):Lecturer

    サイエンス&テクノロジー株式会社  2020.7

  3. 機械学習による統計的実験計画~ベイズ最適化を中心に~

    Role(s):Lecturer

    株式会社トリケップス  2020.7

Academic Activities 5

  1. 第5回 統計・機械学習若手シンポジウム

    Role(s):Planning, management, etc., Panel moderator, session chair, etc.

    梅津佑太,松井孝太  2020.12

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    Type:Competition, symposium, etc. 

  2. 第23回情報論的学習理論ワークショップ International contribution

    Role(s):Planning, management, etc.

    電子情報通信学会 情報論的学習理論と機械学習研究会  2020.11

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    Type:Academic society, research group, etc. 

  3. Thirty-seventh International Conference on Machine Learning International contribution

    Role(s):Peer review

    2020.7

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    Top 33% Reviewer

  4. 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence International contribution

    Role(s):Peer review

    2021.1

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    Type:Academic society, research group, etc. 

  5. 17th Annual International Conference on Information Technology International contribution

    Role(s):Peer review

    2020.4

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