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Yoshihiko Ozaki
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2020 – today
- 2024
- [i2]Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase:
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. CoRR abs/2410.07563 (2024) - 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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