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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)

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)

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 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

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

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)

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)

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.)

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.)

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

Other Link： https://direct.mit.edu/neco/article-abstract/34/12/2408/113360/Bayesian-Optimization-for-Cascade-Type-Multistage?redirectedFrom=fulltext

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

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.)

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.)

Bayesian Quadrature Optimization for Probability Threshold Robustness Measure Reviewed International journal