Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning. - Shintaro Takenaga; Shuhei Watanabe; Masahiro Nomura; Yoshihiko Ozaki; Masaki Onishi; Hitoshi Habe (ICPR, 2020)

Global Search versus Local Search in Hyperparameter Optimization. - Yoshihiko Ozaki; Shintaro Takenaga; Masaki Onishi (CEC, 2022)

Modified Nelder-Mead Method for High-Dimensional Low-Budget Optimization. - Shintaro Takenaga; Yoshihiko Ozaki; Masaki Onishi (SSCI, 2022)

Dynamic Fidelity Selection for Hyperparameter Optimization. - Shintaro Takenaga; Yoshihiko Ozaki; Masaki Onishi (GECCO Companion, 2023)

Practical initialization of the Nelder-Mead method for computationally expensive optimization problems. - Shintaro Takenaga; Yoshihiko Ozaki; Masaki Onishi (Optim. Lett., 2023)

Parameter-free dynamic fidelity selection for automated machine learning. - Shintaro Takenaga; Yoshihiko Ozaki; Masaki Onishi (Appl. Soft Comput., 2025)