Yoshihiko Ozaki

19 papers A* 1A 3B 4Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces.
CoRR
Kaito Baba, Yoshihiko Ozaki, Shuhei Watanabe
2025 J jnl
OptunaHub: A Platform for Black-Box Optimization.
CoRR
Yoshihiko Ozaki, Shuhei Watanabe, Toshihiko Yanase
2025 J jnl
Parameter-free dynamic fidelity selection for automated machine learning.
Appl. Soft Comput.
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
2024 J jnl
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency.
CoRR
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
2023 — conf
Dynamic Fidelity Selection for Hyperparameter Optimization.
GECCO Companion
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
2023 J jnl
Practical initialization of the Nelder-Mead method for computationally expensive optimization problems.
Optim. Lett.
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
2022 B conf
Global Search versus Local Search in Hyperparameter Optimization.
CEC
Yoshihiko Ozaki, Shintaro Takenaga, Masaki Onishi
2022 — conf
Modified Nelder-Mead Method for High-Dimensional Low-Budget Optimization.
SSCI
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi
2022 J jnl
Multiobjective Tree-Structured Parzen Estimator.
J. Artif. Intell. Res.
Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi
2021 A conf
MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation.
AAMAS
Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi
2021 A* conf
Warm Starting CMA-ES for Hyperparameter Optimization.
AAAI
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
2020 B conf
Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning.
ICPR
Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe
2020 B conf
Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios.
CEC
Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka, Masaki Onishi
2020 A conf
Multiobjective tree-structured parzen estimator for computationally expensive optimization problems.
GECCO
Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi
2020 J jnl
Warm Starting CMA-ES for Hyperparameter Optimization.
CoRR
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
2019 A conf
Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene.
AAMAS
Shusuke Shigenaka, Shunki Takami, Yoshihiko Ozaki, Masaki Onishi, Tomohisa Yamashita, Itsuki Noda
2019 — conf
Speeding up of the Nelder-Mead Method by Data-Driven Speculative Execution.
ACPR (1)
Shuhei Watanabe, Yoshihiko Ozaki, Yoshiaki Bando, Masaki Onishi
2017 J jnl
Effective hyperparameter optimization using Nelder-Mead method in deep learning.
IPSJ Trans. Comput. Vis. Appl.
Yoshihiko Ozaki, Masaki Yano, Masaki Onishi
2005 B conf
Multiobjective energy management system using modified MOPSO.
SMC
Shoichi Kitamura, Kazuyuki Mori, Seiichi Shindo, Yoshio Izui, Yoshihiko Ozaki