Takeno, Shion

18 publications

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

ICML 2025 Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS Norm, and Non-Stationary Variance Shogo Iwazaki, Shion Takeno

AISTATS 2025 Near-Optimal Algorithm for Non-Stationary Kernelized Bandits Shogo Iwazaki, Shion Takeno

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

AAAI 2024 Multi-Objective Bayesian Optimization with Active Preference Learning Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama

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

NeurIPS 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie

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

ICML 2023 Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes Shion Takeno, Masahiro Nomura, Masayuki Karasuyama

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

ICML 2022 Sequential and Parallel Constrained Max-Value Entropy Search via Information Lower Bound Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama

ICML 2020 Multi-Fidelity Bayesian Optimization with Max-Value Entropy Search and Its Parallelization Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama

ICML 2020 Multi-Objective Bayesian Optimization Using Pareto-Frontier Entropy Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama