Affiliation Department |
情報工学科 知能情報分野
|
Title |
Assistant Professor |
External Link |
INATSU Yu
|
|
Degree
-
博士 (理学) ( 2017.03 広島大学 )
-
修士 (理学) ( 2014.03 広島大学 )
-
学士 (理学) ( 2012.03 広島大学 )
Papers
-
No-Regret Bayesian Optimization with Stochastic Observation Failures Reviewed
Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu
The 28th International Conference on Artificial Intelligence and Statistics 2025
Language:English Publishing type:Research paper (international conference proceedings)
-
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum Reviewed
S. Iwazaki, T. Tanabe, M. Irie, S. Takeno, Y. Inatsu
The 27th International Conference on Artificial Intelligence and Statistics, PMLR 238 1252 - 1260 2024.04
Language:English Publishing type:Research paper (international conference proceedings)
-
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty Reviewed
Y. Inatsu, S. Takeno, H. Hanada, K. Iwata, I. Takeuchi
The 27th International Conference on Artificial Intelligence and Statistics, PMLR 238 4564 - 4572 2024.04
Authorship:Lead author, Corresponding author Language:English Publishing type:Research paper (international conference proceedings)
-
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Reviewed
S. Takeno, Y. Inatsu, M. Karasuyama, I. Takeuchi
Proceedings of The 41th International Conference on Machine Learning 235 47510 - 47534 2024
Language:English Publishing type:Research paper (international conference proceedings)
Other Link: https://proceedings.mlr.press/v235/takeno24a.html
-
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Reviewed
S. Takeno, Y. Inatsu, M. Karasuyama
Proceedings of the 40th International Conference on Machine Learning 202 33490 - 33515 2023.07
Language:English Publishing type:Research paper (international conference proceedings)
Other Link: https://proceedings.mlr.press/v202/takeno23a.html
-
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Reviewed International journal
Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
Thirty-ninth International Conference on Machine Learning 2022.07
Authorship:Lead author Language:English Publishing type:Research paper (international conference proceedings)
-
Active learning for distributionally robust level-set estimation Reviewed
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
Thirty-eighth International Conference on Machine Learning 2021.07
Authorship:Lead author Language:English Publishing type:Research paper (international conference proceedings)
Other Link: http://proceedings.mlr.press/v139/inatsu21a.html
-
Mean-Variance Analysis in Bayesian Optimization under Uncertainty Reviewed International journal
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
The 24th International Conference on Artificial Intelligence and Statistics. 2021.04
Language:English Publishing type:Research paper (international conference proceedings)
-
Computing Valid P-Values for Image Segmentation by Selective Inference Reviewed International journal
Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.06
Language:English Publishing type:Research paper (international conference proceedings)
DOI: 10.1109/CVPR42600.2020.00957
Other Link: https://ieeexplore.ieee.org/document/9157798
-
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms Reviewed
Yu Inatsu, Shion Takeno, Kentaro Kutsukake and Ichiro Takeuchi
Transactions on Machine Learning Research 2024
Authorship:Lead author, Corresponding author Language:English Publishing type:Research paper (scientific journal)
Books and Other Publications
-
少ないデータによるAI・機械学習の進め方と精度向上、説明可能なAIの開発
稲津佑 他53名 ( Role: Contributor , 第4章第10節「ベイズ最適化に基づく実験工程の効率化」)
株式会社技術情報協会 2024.10 ( ISBN:978-4-86798-048-4 )
Total pages:388 Responsible for pages:215-224 Language:jpn Book type:Scholarly book
-
マテリアルズインフォマティクス・量子コンピュータおよび自然言語処理と自律型実験システムを活用した次世代材料開発
稲津 佑 他56名( Role: Contributor , 第2章第4節「ロバスト尺度に対するベイズ最適化」,p.77-86,担当)
株式会社AndTech 2024.02
Total pages:378 Responsible for pages:p.77-86 Language:jpn Book type:Scholarly book
-
稲津 佑 他89名( Role: Contributor , 第8章第2節「ベイズ最適化を用いた実験工程の効率化」,p.415-424,担当)
株式会社技術情報協会 2023.12 ( ISBN:978-4-86104-994-1 )
Total pages:545 Responsible for pages:p.415-424 Language:jpn Book type:Scholarly book
Misc
-
Akaike Information Criterion for ANOVA Model with a Simple Order Restriction
Yu Inatsu
2016
Authorship:Lead author Language:English Publishing type:Internal/External technical report, pre-print, etc.
Presentations
-
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds International conference
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
Forty-first International Conference on Machine Learning (ICML2024) 2024.07
Event date: 2024.07
Language:English Presentation type:Poster presentation
Venue:Vienna Country:Austria
-
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty International conference
Y. Inatsu, S. Takeno, H. Hanada, K. Iwata, I. Takeuchi
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024) 2024.05
Event date: 2024.05
Language:English Presentation type:Poster presentation
Venue:Valencia Country:Spain
-
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum International conference
S. Iwazaki, T. Tanabe, M. Irie, S. Takeno, Y. Inatsu
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024) 2024.05
Event date: 2024.05
Language:English Presentation type:Poster presentation
Venue:Valencia Country:Spain
-
Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds International conference
S. Takeno, Y. Inatsu, M. Karasuyama
Fortieth International Conference on Machine Learning (ICML2023) 2023.07
Event date: 2023.07
Language:English Presentation type:Poster presentation
Venue:Hawaii Country:United States
-
Bayesian Optimization for Distributionally Robust Chance-constrained Problem International conference
Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
Thirty-ninth International Conference on Machine Learning
Event date: 2022.07
Language:English Presentation type:Poster presentation
Venue:Baltimore Convention Center, Baltimore, Maryland USA
-
Active learning for distributionally robust level-set estimation International conference
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
Thirty-eighth International Conference on Machine Learning
Event date: 2021.07
Language:English Presentation type:Poster presentation
-
Mean-Variance Analysis in Bayesian Optimization under Uncertainty International conference
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
The 24th International Conference on Artificial Intelligence and Statistics
Event date: 2021.04
Language:English Presentation type:Poster presentation
-
Computing Valid P-Values for Image Segmentation by Selective Inference International conference
K. Tanizaki, N. Hashimoto, Y. Inatsu, H. Hontani and I. Takeuchi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2020) 2020.06
Event date: 2020.06
Language:English Presentation type:Poster presentation
Venue:virtual
-
ベイズ最適化アルゴリズムの基礎と効率的な実験工程の最適化への応用とそのポイント Invited
稲津佑
日本テクノセンター WEBセミナー 2025.01 株式会社日本テクノセンター
Event date: 2025.01
Language:Japanese Presentation type:Public lecture, seminar, tutorial, course, or other speech
Venue:オンライン Country:Japan
-
機械学習による適応的実験計画~ベイズ最適化の基礎と応用~ Invited
稲津 佑
トリケップス WEBセミナー 2024.11 株式会社トリケップス
Event date: 2024.11
Language:Japanese Presentation type:Public lecture, seminar, tutorial, course, or other speech
Venue:オンライン Country:Japan
Awards
-
2024.11 電子情報通信学会 情報論的学習理論と機械学習研究会 乱択期待改善量によるベイズ最適化
竹野思温, 稲津佑, 烏山昌幸, 竹内一郎
Award type:Award from Japanese society, conference, symposium, etc. Country:Japan
-
IBIS2023優秀プレゼンテーション賞ファイナリスト
2023.12 事後分布からのサンプルに基づくベイズ最適化
竹野思温, 稲津 佑, 烏山昌幸, 竹内一郎
Award type:Award from Japanese society, conference, symposium, etc. Country:Japan
-
2022年度IBISML研究会賞ファイナリスト
2023.10 乱択GP-UCBアルゴリズムのリグレット解析
竹野思温, 稲津 佑, 烏山昌幸
Award type:Award from Japanese society, conference, symposium, etc. Country:Japan
-
2021年度IBISML研究会賞ファイナリスト
2022.11 分布的ロバストな機会制約付き最適化問題に対する能動学習
稲津 佑, 竹野思温, 烏山昌幸, 竹内一郎
Award type:Award from Japanese society, conference, symposium, etc. Country:Japan
-
2020年度IBISML研究会賞
2021.11 多次元系列データの変化点検出のための選択的推論
杉山諒太, 戸田博己, Vo Nguyen Le Duy, 稲津 佑, 竹内一郎
Award type:Award from Japanese society, conference, symposium, etc. Country:Japan
Scientific Research Funds Acquisition Results
-
実験変数の一部が制御できない状況下での制御可能変数に対する統一的ベイズ最適化手法
Grant number:23K16943 2023.04 - 2025.03
日本学術振興会 科学研究費助成事業 若手研究
稲津 佑
Authorship:Principal investigator Grant type:Competitive
-
探索的分析によるデータ駆動型仮設の信頼性評価法の確立と生命科学分野における実証
Grant number:20H00601 2020.04 - 2025.03
日本学術振興会 科学研究費助成事業 基盤研究(A)
竹内 一郎, 花田 博幸, 寺田 吉壱, 稲津 佑, 本谷 秀堅, 津田 宏治
Authorship:Coinvestigator(s) Grant type:Competitive
Other External Funds
-
ブラックボックス関数のタイトな最適化手法の最大化問題以外への拡張
Grant number:111F007 2024.10 - 2027.03
科学技術振興機構 戦略的創造研究推進事業 ACT-X
稲津 佑
Authorship:Principal investigator Grant type:Competitive
Social Activities
-
2024年度名古屋工業大学公開講座
Role(s): Lecturer
名古屋工業大学 NITech AI研究センター No.15 AI技術の基礎と応用: 機械学習・最適化で豊かな未来を実現する 2024.09
-
2022年度 NITech AI研究センター業務「豊田自動織機データサイエンス道場」
Role(s): Lecturer
-
2023年度 NITech AI研究センター業務「豊田自動織機データサイエンス道場」
Role(s): Lecturer
Media Coverage
-
日刊工業新聞記事「AIで実験工数大幅減 名古屋工大が技術開発、製造業の製品開発に」 Newspaper, magazine
株式会社日刊工業新聞社 日刊工業新聞 (2021年7月22日22面) 2021.07