Inatsu, Yu

14 publications

TMLR 2025 Bayesian Optimization of Robustness Measures Under Input Uncertainty: A Randomized Gaussian Process Upper Confidence Bound Approach Yu Inatsu

ICML 2025 Distributionally Robust Active Learning for Gaussian Process Regression Shion Takeno, Yoshito Okura, Yu Inatsu, Aoyama Tatsuya, Tomonari Tanaka, Akahane Satoshi, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi

TMLR 2025 Distributionally Robust Coreset Selection Under Covariate Shift Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Aoyama Tatsuya, Yu Inatsu, Akahane Satoshi, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi

AISTATS 2025 No-Regret Bayesian Optimization with Stochastic Observation Failures Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu

JAIR 2025 Regret Analysis for Randomized Gaussian Process Upper Confidence Bound Shion Takeno, Yu Inatsu, Masayuki Karasuyama

TMLR 2025 Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

TMLR 2024 Active Learning for Level Set Estimation Using Randomized Straddle Algorithms Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi

AISTATS 2024 Bounding Box-Based Multi-Objective Bayesian Optimization of Risk Measures Under Input Uncertainty Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi

ICML 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

AISTATS 2024 Risk Seeking Bayesian Optimization Under Uncertainty for Obtaining Extremum Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Yu Inatsu

ICML 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno, Yu Inatsu, Masayuki Karasuyama

ICML 2022 Bayesian Optimization for Distributionally Robust Chance-Constrained Problem Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi

AISTATS 2021 Mean-Variance Analysis in Bayesian Optimization Under Uncertainty Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

ICML 2021 Active Learning for Distributionally Robust Level-Set Estimation Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi