Inatsu Yu 稲津佑

… Alternative Names

稲津佑イナツユウ

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Researcher Number	20869896
Other IDs
Affiliation (Current)	2025: 名古屋工業大学, 工学(系)研究科(研究院), 准教授
Affiliation (based on the past Project Information) *help	2020 – 2023: 名古屋工業大学, 工学(系)研究科(研究院), 助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related Except Principal Investigator Medium-sized Section 61:Human informatics and related fields
Keywords	Principal Investigator 機械学習 / ブラックボックス関数最適化 / 入力不確実性 / ロバスト最適化 / パレート最適化 / 多目的最適化 / ベイズ最適化 Except Principal Investigator 医療情報学 / 統計的推測 / 教師なし学習 … More / 生命科学 / 選択的推論 / 人工知能 / 統計科学 / 統計的仮説検定 / データサイエンス / 機械学習 Less

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法Principal Investigator
- Principal Investigator
  
  稲津佑
- Project Period (FY)
  2023 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Nagoya Institute of Technology
探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証
- Principal Investigator
  
  竹内一郎
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  Nagoya University
  Nagoya Institute of Technology

All 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty2024
- Author(s)
  Y. Inatsu, S. Takeno, H. Hanada, K. Iwata, I. Takeuchi
- Journal Title
  
  Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR
  
  Volume: 238 Pages: 4564-4572
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K16943
[Journal Article] Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum2024
- Author(s)
  S. Iwazaki, T. Tanabe, M. Irie, S. Takeno, Y. Inatsu
- Journal Title
  
  Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR
  
  Volume: 238 Pages: 1252-1260
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K16943
[Journal Article] Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds2023
- Author(s)
  S. Takeno, Y. Inatsu, M. Karasuyama
- Journal Title
  
  Proceedings of the 40th International Conference on Machine Learning, PMLR
  
  Volume: 202 Pages: 33490-33515
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K16943
[Journal Article] Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.2022
- Author(s)
  Tsukurimichi T., Inatsu Y., Duy V.N.L., Takeuchi I.
- Journal Title
  
  Annals of Institute of Statistical Mathematics
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00601
[Journal Article] Bayesian Quadrature Optimization for Probability Threshold Robustness Measure2021
- Author(s)
  Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
- Journal Title
  
  Neural Computation
  
  Volume: 33 Pages: 3413-3466
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H00601
[Journal Article] Mean-Variance Analysis in Bayesian Optimization under Uncertainty2021
- Author(s)
  Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
- Journal Title
  
  Proceedings of International Conference on Artifical Intelligence and Statistics (AISTATS2021)
  
  Volume: NA
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00601
[Journal Article] Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design2021
- Author(s)
  Inoue Keiichi、Karasuyama Masayuki、Nakamura Ryoko、Konno Masae、Yamada Daichi、Mannen Kentaro、Nagata Takashi、Inatsu Yu、Yawo Hiromu、Yura Kei、Beja Oded、Kandori Hideki、Takeuchi Ichiro
- Journal Title
  
  Communications Biology
  
  Volume: 4 Issue: 1 Pages: 362-362
- DOI
  10.1038/s42003-021-01878-9
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K21251, KAKENHI-PROJECT-20K21382, KAKENHI-PROJECT-20K21383, KAKENHI-PLANNED-16H06538, KAKENHI-PUBLICLY-19H04959, KAKENHI-PLANNED-20H05758, KAKENHI-PROJECT-18H03986, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-17H03007, KAKENHI-PROJECT-17H04694
[Journal Article] Active Learning for Distributionally Robust Level-Set Estimation2021
- Author(s)
  Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
- Journal Title
  
  Proceedings of International Conference on Machine Learning 2021 (ICML2021)
  
  Volume: NA
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00601
[Journal Article] Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation2020
- Author(s)
  Inatsu Yu、Karasuyama Masayuki、Inoue Keiichi、Kandori Hideki、Takeuchi Ichiro
- Journal Title
  
  Neural Computation
  
  Volume: 32 Issue: 10 Pages: 1998-2031
- DOI
  10.1162/neco_a_01310
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K21251, KAKENHI-PROJECT-20K21383, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PUBLICLY-19H04959, KAKENHI-PLANNED-20H05758, KAKENHI-PROJECT-18H03986, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-17H03007
[Journal Article] Computing Valid P-Values for Image Segmentation by Selective Inference2020
- Author(s)
  Tanizaki Kosuke、Hashimoto Noriaki、Inatsu Yu、Hontani Hidekata、Takeuchi Ichiro
- Journal Title
  
  Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020 (CVPR2020)
  
  Volume: - Pages: 9550-9559
- DOI
  10.1109/cvpr42600.2020.00957
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-18H03262
[Journal Article] Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty2020
- Author(s)
  Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi.
- Journal Title
  
  IEEE Access
  
  Volume: 8 Pages: 203982-203993
- DOI
  10.1109/access.2020.3036863
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-16H06538, KAKENHI-PROJECT-20H00601
[Journal Article] Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions2020
- Author(s)
  Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
- Journal Title
  
  Neural Computation
  
  Volume: 32 Issue: 12 Pages: 2486-2531
- DOI
  10.1162/neco_a_01332
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K21383, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PLANNED-20H05758, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-17H03007
[Journal Article] Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives2020
- Author(s)
  Inatsu Yu、Sugita Daisuke、Toyoura Kazuaki、Takeuchi Ichiro
- Journal Title
  
  Neural Computation
  
  Volume: 32 Issue: 10 Pages: 2032-2068
- DOI
  10.1162/neco_a_01307
- Peer Reviewed
- Data Source
  KAKENHI-INTERNATIONAL-16K21735, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06538, KAKENHI-PROJECT-20H00601
[Presentation] Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum2024
- Author(s)
  〇S. Iwazaki, T. Tanabe, M. Irie, S. Takeno, Y. Inatsu
- Organizer
  The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty2024
- Author(s)
  〇Y. Inatsu, S. Takeno, H. Hanada, K. Iwata, I. Takeuchi
- Organizer
  The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] 変分自己符号化器を用いた探索空間の削減による高次元ベイズ最適化2023
- Author(s)
  〇神崎　陽平, 石川　和樹, 尾崎　令拓, 烏山　昌幸, 稲津　佑, 竹内　一郎
- Organizer
  第37回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] 入力データ分布の変動にロバストなセーフ事例スクリーニング2023
- Author(s)
  〇花田博幸; 赤羽智志; 稲津佑; 青山竜也; 大藏芳斗; 田中智成; 小嶋信矢; 李翰柱; 竹内一郎
- Organizer
  第26回情報論的学習理論ワークショップ (IBIS2023)
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] 入力データ分布に対する不確実性の下での分布ロバストな能動学習2023
- Author(s)
  〇大藏芳斗; 稲津佑; 竹野思温; 花田博幸; 青山竜也; 田中智成; 赤羽智志; 小嶋信矢; 李翰柱; 竹内一郎
- Organizer
  第26回情報論的学習理論ワークショップ (IBIS2023)
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] 不確実環境下での分布ロバストな多目的ベイズ最適化手法2023
- Author(s)
  〇稲津　佑, 竹内　一郎
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] 複数目的のレベル集合推定のための適応的意思決定アルゴリズムの提案2023
- Author(s)
  〇岩崎　省吾, 竹野　思温, 稲津　佑, 松井　孝太
- Organizer
  第37回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] ガウス過程に対する乱択UCBアルゴリズム2023
- Author(s)
  〇竹野　思温, 稲津　佑, 烏山昌幸
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] 入力不確実性が存在する下での信用領域を用いたリスク尺度に対する多目的ベイズ最適化手法2023
- Author(s)
  〇稲津佑; 花田博幸; 岩田和樹; 竹野思温; 竹内一郎
- Organizer
  第26回情報論的学習理論ワークショップ (IBIS2023)
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] 事後分布からのサンプルに基づくベイズ最適化2023
- Author(s)
  〇竹野思温, 稲津佑, 烏山昌幸, 竹内一郎
- Organizer
  第26回情報論的学習理論ワークショップ (IBIS2023)
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds2023
- Author(s)
  〇S. Takeno, Y. Inatsu, M. Karasuyama
- Organizer
  Fortieth International Conference on Machine Learning (ICML2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K16943
[Presentation] Bayesian Optimization for Distributionally Robust Chance-constrained Problem.2022
- Author(s)
  Inatsu Y., Takeno S., Karasuyama M., Takeuchi I.
- Organizer
  International Conference on Machine Learning (ICML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00601
[Presentation] Mean-Variance Analysis in Bayesian Optimization under Uncertainty2021
- Author(s)
  Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
- Organizer
  International Conference on Artifical Intelligence and Statistics (AISTATS2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00601
[Presentation] Active Learning for Distributionally Robust Level-Set Estimation2021
- Author(s)
  Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
- Organizer
  International Conference on Machine Learning 2021 (ICML2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00601
[Presentation] Computing Valid P-values for Image Segmentation by Selective Inference.2020
- Author(s)
  Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
- Organizer
  IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020 (CVPR2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00601

1. 竹内一郎 (40335146)

# of Collaborated Projects: 1 results

# of Collaborated Products: 11 results
2. 花田博幸 (00793035)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 寺田吉壱 (10738793)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 本谷秀堅 (60282688)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
5. 津田宏治 (90357517)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. INOUE Keiichi

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
7. 神取秀樹

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
8. 橋本浩一

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Inatsu Yu 稲津 佑

稲津 佑 イナツ ユウ

Research Projects

Research Products

Co-Researchers

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法Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty2024

Author(s)

Journal Title

Data Source

[Journal Article] Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum2024

Author(s)

Journal Title

Data Source

[Journal Article] Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds2023

Author(s)

Journal Title

Data Source

[Journal Article] Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.2022

Author(s)

Journal Title

Data Source

[Journal Article] Bayesian Quadrature Optimization for Probability Threshold Robustness Measure2021

Author(s)

Journal Title

Data Source

[Journal Article] Mean-Variance Analysis in Bayesian Optimization under Uncertainty2021

Author(s)

Journal Title

Data Source

[Journal Article] Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Active Learning for Distributionally Robust Level-Set Estimation2021

Author(s)

Journal Title

Data Source

[Journal Article] Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Computing Valid P-Values for Image Segmentation by Selective Inference2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum2024

Author(s)

Organizer

Data Source

[Presentation] Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty2024

Inatsu Yu 稲津佑

稲津佑イナツユウ