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ORCIDYoshihiko Ozaki
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2020 – today
- 2023
[j3]Shintaro Takenaga
, Yoshihiko Ozaki, Masaki Onishi:
Practical initialization of the Nelder-Mead method for computationally expensive optimization problems. Optim. Lett. 17(2): 283-297 (2023)- [c11]Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi:
Dynamic Fidelity Selection for Hyperparameter Optimization. GECCO Companion 2023: 2304-2307 - 2022
- [j2]Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi:
Multiobjective Tree-Structured Parzen Estimator. J. Artif. Intell. Res. 73: 1209-1250 (2022) - [c10]Yoshihiko Ozaki, Shintaro Takenaga, Masaki Onishi:
Global Search versus Local Search in Hyperparameter Optimization. CEC 2022: 1-9 - [c9]Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi:
Modified Nelder-Mead Method for High-Dimensional Low-Budget Optimization. SSCI 2022: 1726-1731 - 2021
- [c8]Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi:
Warm Starting CMA-ES for Hyperparameter Optimization. AAAI 2021: 9188-9196 - [c7]Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi:
MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. AAMAS 2021: 1652-1654 - 2020
- [c6]Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka, Masaki Onishi:
Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios. CEC 2020: 1-7 - [c5]Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi:
Multiobjective tree-structured parzen estimator for computationally expensive optimization problems. GECCO 2020: 533-541 - [c4]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: 3372-3379 - [i1]Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi:
Warm Starting CMA-ES for Hyperparameter Optimization. CoRR abs/2012.06932 (2020)
2010 – 2019
- 2019
- [c3]Shuhei Watanabe, Yoshihiko Ozaki, Yoshiaki Bando, Masaki Onishi:
Speeding up of the Nelder-Mead Method by Data-Driven Speculative Execution. ACPR (1) 2019: 438-452 - [c2]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: 2192-2194 - 2017
- [j1]Yoshihiko Ozaki, Masaki Yano, Masaki Onishi:
Effective hyperparameter optimization using Nelder-Mead method in deep learning. IPSJ Trans. Comput. Vis. Appl. 9: 20 (2017)
2000 – 2009
- 2005
- [c1]Shoichi Kitamura, Kazuyuki Mori, Seiichi Shindo, Yoshio Izui, Yoshihiko Ozaki:
Multiobjective energy management system using modified MOPSO. SMC 2005: 3497-3503
Coauthor Index
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