Papers - INATSU Yu
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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 258 415 - 423 2025.05
Language：English Publishing type：Research paper (international conference proceedings)
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Distributionally Robust Active Learning for Gaussian Process Regression Reviewed
Shion Takeno, Yoshito Okura, Yu Inatsu, Aoyama Tatsuya, Tomonari Tanaka, Akahane Satoshi, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
Proceedings of The 42nd International Conference on Machine Learning (ICML 2025) 2025
Language：English Publishing type：Research paper (international conference proceedings)
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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)
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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)
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Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Reviewed
S. Takeno, Y. Inatsu, M. Karasuyama, I. Takeuchi
Proceedings of The 41st 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
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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
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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)
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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
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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)
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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
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Distributionally Robust Coreset Selection under Covariate Shift Reviewed
Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Aoyama Tatsuya, Yu Inatsu, Akahane Satoshi, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
Transactions on Machine Learning Research 2025
Language：English Publishing type：Research paper (scientific journal)
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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)
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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
信学技報 122 ( 325 ) 38 - 45 2022.12
Language：English Publishing type：Research paper (conference, symposium, etc.)
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分布ロバストなパレートフロントの同定問題に対する多目的ベイズ最適化
稲津 佑, 竹内 一郎
信学技報 122 ( 325 ) 112 - 119 2022.12
Authorship：Lead author, Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Bayesian Optimization for Cascade-type Multi-stage Processes Reviewed International journal
Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
Neural Computation 34 ( 12 ) 2408 - 2431 2022.12
Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1162/neco_a_01550
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Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation Reviewed International journal
T. Tsukurimichi, Y. Inatsu, V. N. L. Duy and I. Takeuchi
Annals of the Institute of Statistical Mathematics 74 1197 - 1228 2022.08
Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1007/s10463-022-00846-2
Other Link： https://link.springer.com/article/10.1007/s10463-022-00846-2
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More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis
IEICE Technical Report 121 ( 321 ) 54 - 60 2022.01
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Selective Inference for Multi-dimensional Multiple Change-Points
IEICE Technical Report 121 ( 304 ) 25 - 30 2021.12
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Bayesian Quadrature Optimization for Probability Threshold Robustness Measure Reviewed International journal
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Neural Computation 2021.10
Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1162/neco_a_01442
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Active learning for distributionally robust chance-constrained optimization
121 ( 80 ) 47 - 54 2021.06
Authorship：Lead author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
Other Link： https://www.ieice.org/ken/paper/20210628ACen/
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Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design Reviewed International coauthorship International journal
Keiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, Masae Konno, Daichi Yamada, Kentaro Mannen, Takashi Nagata, Yu Inatsu, Hiromu Yawo, Kei Yura, Oded Béjà, Hideki Kandori, Ichiro Takeuchi
Communications Biology 2021.03
Language：English Publishing type：Research paper (scientific journal)
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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
IEICE Technical Report 120 ( 395 ) 63 - 70 2021.02
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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パラメトリック計画法を用いた凸クラスタリングのための選択的推論
大森夢拓, 稲津 佑, 竹内一郎
IEICE Technical Report 120 ( 395 ) 9 - 15 2021.02
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Active learning for level set estimation under input uncertainty and its extensions Reviewed International journal
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
Neural Computation 32 ( 12 ) 2020.12
Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1162/neco_a_01332
Other Link： https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01332
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Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty Reviewed International journal
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
IEEE Access 8 203982 - 203993 2020.11
Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1109/ACCESS.2020.3036863
Other Link： https://ieeexplore.ieee.org/document/9252941
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Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation Reviewed International journal
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi
Neural Computation 32 ( 10 ) 1998 - 2031 2020.10
Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1162/neco_a_01310
Other Link： https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01310
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Active learning for enumerating local minima based on Gaussian process derivatives Reviewed International journal
Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi
Neural Computation 32 ( 10 ) 2032 - 2068 2020.10
Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)
DOI： 10.1162/neco_a_01307
Other Link： https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01307
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A Cp type criterion for model selection in the GEE method when both scale and correlation parameters are unknown Reviewed International journal
Tomoharu Sato, Yu Inatsu
Hiroshima Mathematical Journal 50 ( 1 ) 85 - 115 2020.03
Language：English Publishing type：Research paper (scientific journal)
DOI： doi:10.32917/hmj/1583805651
Other Link： https://projecteuclid.org/euclid.hmj/1583805651
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Model Selection Criterion Based on the Prediction Mean Squared Error in Generalized Estimating Equations Reviewed International journal
Yu Inatsu, Shinpei Imori
Hiroshima Mathematical Journal 48 ( 3 ) 307 - 334 2018.12
Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)
Other Link： https://projecteuclid.org/euclid.hmj/1544238030
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ガウス過程の導関数に基づく極小点の同定のための能動学習
稲津 佑, 椙田 大輔, 豊浦 和明, 竹内 一郎
電子情報通信学会技術研究報告 情報論的学習理論と機械学習 2018
Authorship：Lead author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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An unbiased Cp type criterion for ANOVA model with a tree order restriction Reviewed International journal
Yu Inatsu
Hiroshima Mathematical Journal 47 ( 2 ) 181 - 216 2017.07
Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)
Other Link： https://projecteuclid.org/euclid.hmj/1499392825
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Selective inferenceに基づくactive learningの選択バイアス補正
稲津 佑, 竹内 一郎
電子情報通信学会技術研究報告 情報論的学習理論と機械学習 2017
Authorship：Lead author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Asymptotic expansions of the null distribution of the LR test statistic for random-effects covariance structure in a parallel profile model Reviewed International journal
Yu Inatsu, Hirofumi Wakaki
JOURNAL OF THE JAPAN STATISTICAL SOCIETY 46 ( 1 ) 51 - 79 2016.09
Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)
DOI： 10.14490/jjss.46.51
Other Link： https://www.jstage.jst.go.jp/article/jjss/46/1/46_51/_article/
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順序制約つきANOVAモデルのAIC規準
稲津 佑
京都大学数理解析研究所講究録, No.1999 2016
Authorship：Lead author Language：Japanese Publishing type：Research paper (scientific journal)
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