Yoshihiko Ozaki

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 14

Top Topics

Parameter Optimization

Top Venues

Publications

Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
Dynamic Fidelity Selection for Hyperparameter Optimization. GECCO Companion (2023)
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
Practical initialization of the Nelder-Mead method for computationally expensive optimization problems. Optim. Lett. 17 (2) (2023)
Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi
Multiobjective Tree-Structured Parzen Estimator. J. Artif. Intell. Res. 73 (2022)
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
Modified Nelder-Mead Method for High-Dimensional Low-Budget Optimization. SSCI (2022)
Yoshihiko Ozaki, Shintaro Takenaga, Masaki Onishi
Global Search versus Local Search in Hyperparameter Optimization. CEC (2022)
Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi
MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. AAMAS (2021)
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
Warm Starting CMA-ES for Hyperparameter Optimization. AAAI (2021)
Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka, Masaki Onishi
Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios. CEC (2020)
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
Warm Starting CMA-ES for Hyperparameter Optimization. CoRR (2020)
Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe
Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning. ICPR (2020)
Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi
Multiobjective tree-structured parzen estimator for computationally expensive optimization problems. GECCO (2020)
Shusuke Shigenaka, Shunki Takami, Yoshihiko Ozaki, Masaki Onishi, Tomohisa Yamashita, Itsuki Noda
Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene. AAMAS (2019)
Shuhei Watanabe, Yoshihiko Ozaki, Yoshiaki Bando, Masaki Onishi
Speeding up of the Nelder-Mead Method by Data-Driven Speculative Execution. ACPR (1) (2019)
Yoshihiko Ozaki, Masaki Yano, Masaki Onishi
Effective hyperparameter optimization using Nelder-Mead method in deep learning. IPSJ Trans. Comput. Vis. Appl. 9 (2017)
Shoichi Kitamura, Kazuyuki Mori, Seiichi Shindo, Yoshio Izui, Yoshihiko Ozaki
Multiobjective energy management system using modified MOPSO. SMC (2005)