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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/

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  1. 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. 2. Sign-Averaging Covariance Matrix Adaptation Evolution Strategy Morinaga, Daiki; AKIMOTO, Yohei
    Genetic and Evolutionary Computation Conference (GECCO ’24)
  3. 3. Analysis of Search Space Design for Neural Architecture Search with Weight Sharing AKIMOTO, Yohei; Shirakawa, Shinichi
    International Joint Conference on Neural Networks
  4. 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. 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. 6. Feature selection based on cluster assumption in PU learning Uchikoshi, Motonobu; AKIMOTO, Yohei
    Genetic and Evolutionary Computation Conference (GECCO ’25)
  7. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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
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