| Multi-fidelity Bayesian optimization with max-value entropy search and its parallelization S Takeno, H Fukuoka, Y Tsukada, T Koyama, M Shiga, I Takeuchi, ... The 37th International Conference on Machine Learning 119, 9334-9345, 2020 | 109 | 2020 |
| Multi-objective Bayesian optimization using Pareto-frontier entropy S Suzuki, S Takeno, T Tamura, K Shitara, M Karasuyama The 37th International Conference on Machine Learning 119, 9279-9288, 2020 | 66 | 2020 |
| Bayesian Optimization for Distributionally Robust Chance-constrained Problem Y Inatsu, S Takeno, M Karasuyama, I Takeuchi The 39th International Conference on Machine Learning 162, 9602--9621, 2022 | 12 | 2022 |
| Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound S Takeno, T Tamura, K Shitara, M Karasuyama The 39th International Conference on Machine Learning 162, 20960-20986, 2022 | 12 | 2022 |
| Bayesian optimization for cascade-type multistage processes S Kusakawa, S Takeno, Y Inatsu, K Kutsukake, S Iwazaki, T Nakano, ... Neural Computation 34 (12), 2408-2431, 2022 | 11 | 2022 |
| Estimation of material parameters based on precipitate shape: efficient identification of low-error region with Gaussian process modeling Y Tsukada, S Takeno, M Karasuyama, H Fukuoka, M Shiga, T Koyama Scientific reports 9 (1), 15794, 2019 | 8 | 2019 |
| Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds S Takeno, Y Inatsu, M Karasuyama The 40th International Conference on Machine Learning 202, 33490-33515, 2023 | 7 | 2023 |
| Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes S Takeno, M Nomura, M Karasuyama The 40th International Conference on Machine Learning 202, 33516-33533, 2023 | 5 | 2023 |
| A generalized framework of multifidelity max-value entropy search through joint entropy S Takeno, H Fukuoka, Y Tsukada, T Koyama, M Shiga, I Takeuchi, ... Neural Computation 34 (10), 2145-2203, 2022 | 5 | 2022 |
| Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling S Takeno, Y Tsukada, H Fukuoka, T Koyama, M Shiga, M Karasuyama Physical Review Materials 4 (8), 083802, 2020 | 3 | 2020 |
| Failure-Aware Gaussian Process Optimization with Regret Bounds S Iwazaki, S Takeno, T Tanabe, M Irie Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum S Iwazaki, T Tanabe, M Irie, S Takeno, Y Inatsu International Conference on Artificial Intelligence and Statistics, 1252-1260, 2024 | | 2024 |
| Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty Y Inatsu, S Takeno, H Hanada, K Iwata, I Takeuchi International Conference on Artificial Intelligence and Statistics, 4564-4572, 2024 | | 2024 |
| Multi-Objective Bayesian Optimization with Active Preference Learning R Ozaki, K Ishikawa, Y Kanzaki, S Takeno, I Takeuchi, M Karasuyama Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14490 …, 2024 | | 2024 |
| Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds S Takeno, Y Inatsu, M Karasuyama, I Takeuchi arXiv preprint arXiv:2311.03760, 2023 | | 2023 |
| Preferential Bayesian Optimization with Hallucination Believer S Takeno, M Nomura, M Karasuyama NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and …, 2022 | | 2022 |
| Constrained Bayesian Optimization through Optimal-value Entropy S Takeno, T Tamura, K Shitara, M Karasuyama IEICE Technical Report; IEICE Tech. Rep. 121 (321), 9-16, 2022 | | 2022 |
| Bayesian Optimization for Simultaneous Optimization of Multiple Tasks with Max-value Entropy Search R Yamada, S Takeno, M Karasuyama IEICE Technical Report; IEICE Tech. Rep. 121 (321), 75-80, 2022 | | 2022 |
| Active learning for distributionally robust chance-constrained optimization Y Inatsu, S Takeno, M Karasuyama, I Takeuchi IEICE Technical Report; IEICE Tech. Rep. 121 (80), 47-54, 2021 | | 2021 |
| Active Level Set Estimation with Multi-fidelity Evaluations S Takeno, H Fukuoka, Y Tsukada, T Koyama, M Shiga, I Takeuchi, ... IEICE Technical Report; IEICE Tech. Rep. 118 (81), 1-8, 2018 | | 2018 |
Masayuki KarasuyamaNagoya Institute of TechnologyVerified email at nitech.ac.jp
