ホーム > 秋本洋平/ Akimoto, Yohei

秋本洋平

Akimoto, Yohei

システム情報系 , 教授
Institute of Systems and Information Engineering , Professor

https://www.bbo.cs.tsukuba.ac.jp/

https://sites.google.com/site/youheiakimotospage/

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

201. Theoretical analysis of evolutionary computation on continuously differentiable functions Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 1401 (2010) Semantic Scholar
202. Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi
PARALLEL PROBLEMS SOLVING FROM NATURE - PPSN XI, PT I 6238: 154 (2010) Semantic Scholar
203. Adaptation of expansion rate for real-coded crossovers Youhei Akimoto; Jun Sakuma; Isao Ono; Shigenobu Kobayashi
Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 739 (2009) Semantic Scholar
204. 機能分担CMA-ESの提案と評価案秋本, 洋平; 佐久間, 淳; 小野, 功; 小林, 重信
The Japanese society of Artificial Intelligence 24: 58-68 (2009)
205. Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. Youhei Akimoto; Jun Sakuma; Isao Ono; Shigenobu Kobayashi
Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008 479 (2008) Semantic Scholar

« 1 … 9 10 11

書籍等出版物情報はまだありません。

1. Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Fujikawa, Mitsuhiro; AKIMOTO, Yohei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics
2. Sign-Averaging Covariance Matrix Adaptation Evolution Strategy Morinaga, Daiki; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’24)
3. Analysis of Search Space Design for Neural Architecture Search with Weight Sharing AKIMOTO, Yohei; Shirakawa, Shinichi
International Joint Conference on Neural Networks
4. Stepwise Alignment for Constrained Language Model Policy Optimization Wachi, Akifumi; Tran, Thien Q.; Sato, Rei; Tanabe, Takumi; AKIMOTO, Yohei
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
5. Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Fujikawa, Mitsuhiro; AKIMOTO, Yohei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics
6. Feature selection based on cluster assumption in PU learning Uchikoshi, Motonobu; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’25)
7. CMA-ES with Individual Adaptive Reevaluation for Black Box Value-At-Risk Optimization Ng, Ze Kai; Morinaga, Daiki; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’25)
8. Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables AKIMOTO, Yohei; Gao, Xilin; Ng, Ze Kai; Morinaga, Daiki
Genetic and Evolutionary Computation Conference (GECCO ’25)
9. 一般和確率ゲームにおける定常Stackelberg均衡のための方策反復法工藤, ミコト; 秋本, 洋平
2024年度人工知能学会全国大会（第38回）
10. 連続値ブラックボックス最適化アルゴリズム(1+1)-ESの強凸かつリプシッツ平滑な目的関数における収束速度の理論的評価森永, 大貴; 福地, 一斗; 佐久間, 淳; 秋本, 洋平
2024年度人工知能学会全国大会（第38回）
11. WRA-CMA-ESの並列実行時の非効率性の分析とその解決策の検討菊地信志; 江戸陽向; 宮城充宏; 秋本, 洋平
計測自動制御学会システム・情報部門学術講演会 2024
12. Individual Monte Carlo sample size adaptation using Bootstrapping for black box Value-at-Risk optimization with Evolution Strategies Kai, Ng Ze; Daiki, Morinaga; 秋本, 洋平
計測自動制御学会システム・情報部門学術講演会 2024
13. Prioritized Level Replay のカリキュラムラーニングとしての性能評価河上幸樹; 秋本, 洋平
計測自動制御学会システム・情報部門学術講演会 2024
14. 連続値制御強化学習における行動方策と評価用方策の分離齊藤, 啓太; 秋本, 洋平
第37回自律分散システム・シンポジウム
15. Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift Fujikawa, Mitsuhiro; Akimoto, Youhei; Sakuma, Jun; Fukuchi, Kazuto
Workshop of Mathematics of Modern Machine Learning (M3L) (at The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024))
16. Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Tanabe, Takumi; Sato, Rei; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
17. Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization Edo, Hinata; Miyauchi, Yoshiki; Maki, Atsuo; Akimoto, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’23)
18. CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? Nomura, Masahiro; Akimoto, Yohei; Ono, Isao
Genetic and Evolutionary Computation Conference (GECCO ’23)
19. Privformer: Privacy-preserving Transformer with MPC Akimoto, Yoshimasa; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
2023 8th IEEE European Symposium on Security and Privacy (EuroSP)
20. 操縦性能モデリング自動化のための港内操船の動的モデル宮内, 新喜; 秋本, 洋平; 梅田, 直哉; 牧, 敦生
令和4年日本船舶海洋工学会秋季講演会