Shion Takeno

42 papers A* 11A 4Journal 26Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
On Regret Bounds of Thompson Sampling for Bayesian Optimization.
CoRR
Shion Takeno, Shogo Iwazaki
2026 J jnl
Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds.
CoRR
Shuhei Sugiura, Ichiro Takeuchi, Shion Takeno
2026 J jnl
Safe Distributionally Robust Feature Selection under Covariate Shift.
CoRR
Hiroyuki Hanada, Satoshi Akahane, Noriaki Hashimoto, Shion Takeno, Ichiro Takeuchi
2025 A* conf
Distributionally Robust Active Learning for Gaussian Process Regression.
ICML
Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025 J jnl
Distributionally Robust Active Learning for Gaussian Process Regression.
CoRR
Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025 J jnl
Dose-finding design based on level set estimation in phase I cancer clinical trials.
CoRR
Keiichiro Seno, Kota Matsui, Shogo Iwazaki, Yu Inatsu, Shion Takeno, Shigeyuki Matsui
2025 A* conf
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance.
ICML
Shogo Iwazaki, Shion Takeno
2025 J jnl
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance.
CoRR
Shogo Iwazaki, Shion Takeno
2025 A conf
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits.
AISTATS
Shogo Iwazaki, Shion Takeno
2025 A conf
No-Regret Bayesian Optimization with Stochastic Observation Failures.
AISTATS
Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu
2025 J jnl
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound.
J. Artif. Intell. Res.
Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2025 J jnl
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization.
CoRR
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2025 J jnl
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization.
Trans. Mach. Learn. Res.
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2024 J jnl
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms.
CoRR
Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi
2024 J jnl
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms.
Trans. Mach. Learn. Res.
Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi
2024 A conf
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty.
AISTATS
Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi
2024 J jnl
Distributionally Robust Safe Sample Screening.
CoRR
Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Shion Takeno, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2024 — conf
Hot off the Press: Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes.
GECCO Companion
Shion Takeno, Masahiro Nomura, Masayuki Karasuyama
2024 A* conf
Multi-Objective Bayesian Optimization with Active Preference Learning.
AAAI
Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
2024 J jnl
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits.
CoRR
Shogo Iwazaki, Shion Takeno
2024 A* conf
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds.
ICML
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2024 J jnl
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound.
CoRR
Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2024 A conf
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum.
AISTATS
Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Yu Inatsu
2023 A* conf
Failure-Aware Gaussian Process Optimization with Regret Bounds.
NeurIPS
Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie
2023 J jnl
Multi-Objective Bayesian Optimization with Active Preference Learning.
CoRR
Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shinya Suzuki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
2023 J jnl
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds.
CoRR
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2023 J jnl
Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds.
CoRR
Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2023 A* conf
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds.
ICML
Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2023 A* conf
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes.
ICML
Shion Takeno, Masahiro Nomura, Masayuki Karasuyama
2023 J jnl
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes.
CoRR
Shion Takeno, Masahiro Nomura, Masayuki Karasuyama
2022 J jnl
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy.
Neural Comput.
Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2022 J jnl
Bayesian Optimization for Cascade-Type Multistage Processes.
Neural Comput.
Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
2022 A* conf
Bayesian Optimization for Distributionally Robust Chance-constrained Problem.
ICML
Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
2022 J jnl
Bayesian Optimization for Distributionally Robust Chance-constrained Problem.
CoRR
Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
2022 A* conf
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound.
ICML
Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama
2021 J jnl
Bayesian Optimization for Cascade-type Multi-stage Processes.
CoRR
Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
2021 J jnl
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound.
CoRR
Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama
2020 J jnl
Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling.
CoRR
Shion Takeno, Yuhki Tsukada, Hitoshi Fukuoka, Toshiyuki Koyama, Motoki Shiga, Masayuki Karasuyama
2020 A* conf
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization.
ICML
Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2020 A* conf
Multi-objective Bayesian Optimization using Pareto-frontier Entropy.
ICML
Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama
2019 J jnl
Multi-fidelity Bayesian Optimization with Max-value Entropy Search.
CoRR
Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2019 J jnl
Multi-objective Bayesian Optimization using Pareto-frontier Entropy.
CoRR
Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama