| 2025 | AISTATS | Near-Optimal Algorithm for Non-Stationary Kernelized Bandits. | Shogo Iwazaki, Shion Takeno |
| 2025 | AISTATS | No-Regret Bayesian Optimization with Stochastic Observation Failures. | Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu |
| 2025 | ICML | Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance. | Shogo Iwazaki, Shion Takeno |
| 2025 | ICML | Distributionally Robust Active Learning for Gaussian Process Regression. | Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi |
| 2024 | AAAI | Multi-Objective Bayesian Optimization with Active Preference Learning. | Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama |
| 2024 | AISTATS | Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty. | Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi |
| 2024 | AISTATS | Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum. | Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Yu Inatsu |
| 2024 | GECCO | Hot off the Press: Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. | Shion Takeno, Masahiro Nomura, Masayuki Karasuyama |
| 2024 | ICML | Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. | Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi |
| 2023 | ICML | Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds. | Shion Takeno, Yu Inatsu, Masayuki Karasuyama |
| 2023 | ICML | Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. | Shion Takeno, Masahiro Nomura, Masayuki Karasuyama |
| 2022 | ICML | Bayesian Optimization for Distributionally Robust Chance-constrained Problem. | Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi |
| 2022 | ICML | Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound. | Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama |
| 2020 | ICML | Multi-objective Bayesian Optimization using Pareto-frontier Entropy. | Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama |
| 2020 | ICML | 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 |