Yoshihiko Ozaki

According to our database, Yoshihiko Ozaki authored at least 14 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Practical initialization of the Nelder-Mead method for computationally expensive optimization problems.

Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi

Optim. Lett., March, 2023

Dynamic Fidelity Selection for Hyperparameter Optimization.

Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Multiobjective Tree-Structured Parzen Estimator.

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi

J. Artif. Intell. Res., 2022

Modified Nelder-Mead Method for High-Dimensional Low-Budget Optimization.

Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Global Search versus Local Search in Hyperparameter Optimization.

Yoshihiko Ozaki, Shintaro Takenaga, Masaki Onishi

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation.

Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Warm Starting CMA-ES for Hyperparameter Optimization.

Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning.

Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multiobjective tree-structured parzen estimator for computationally expensive optimization problems.

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios.

Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka, Masaki Onishi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene.

Shusuke Shigenaka, Shunki Takami, Yoshihiko Ozaki, Masaki Onishi, Tomohisa Yamashita, Itsuki Noda

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Speeding up of the Nelder-Mead Method by Data-Driven Speculative Execution.

Shuhei Watanabe, Yoshihiko Ozaki, Yoshiaki Bando, Masaki Onishi

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2017

Effective hyperparameter optimization using Nelder-Mead method in deep learning.

Yoshihiko Ozaki, Masaki Yano, Masaki Onishi

IPSJ Trans. Comput. Vis. Appl., 2017

2005

Multiobjective energy management system using modified MOPSO.

Shoichi Kitamura, Kazuyuki Mori, Seiichi Shindo, Yoshio Izui, Yoshihiko Ozaki

Proceedings of the IEEE International Conference on Systems, 2005