Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, and Masaki Onishi
MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2021.
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, and Masaki Onishi
Warm Starting CMA-ES for Hyperparameter Optimization
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), Feb 2021.
鈴⽊雄太, 尾崎嘉彦, ⽻合孝⽂, ⻫藤耕太郎, ⼤⻄正輝, ⼩野寛太
ブラックボックス最適化を用いたリートベルト解析の自動化
第34回日本放射光学会年会・放射光科学合同シンポジウム, Jan 2021.
Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, and Hitoshi Habe
Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning
International Conference on Pattern Recognition (ICPR), Jan 2021.
Yoshihiko Ozaki, Yuta Suzuki, Takafumi Hawai, Kotaro Saito, Masaki Onishi, and Kanta Ono
Automated crystal structure analysis based on blackbox optimisation
npj Computational Materials 6, 75 (2020).
Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, and Masaki Onishi
Multiobjective Tree-structured Parzen Estimator for Computationally Expensive Optimization Problems
The Genetic and Evolutionary Computation Conference (GECCO) 2020
Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka and Masaki Onishi
Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020
竹長 慎太朗 , 渡邊 修平 , 野村 将寛 , 尾崎 嘉彦 , 大西 正輝 , 波部 斉
深層学習のハイパパラメータ最適化における Nelder-Mead 法の初期値評価
研究報告コンピュータビジョンとイメージメディア（CVIM）,2020-CVIM-221(28),1-6 (2020-03-09) , 2188-8701
Masahiro Nomura, Shuhei Watanabe, Yoshihiko Ozaki, Masaki Onishi
Warm Starting Method for CMA-ES
Workshop on Meta-Learning (MetaLearn 2019) @NeurIPS 2019