ホーム > 秋本 洋平/ Akimoto, Yohei
秋本 洋平
Akimoto, Yohei
システム情報系 , 准教授 Institute of Systems and Information Engineering , Associate Professor
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1.
Feature selection based on cluster assumption in PU learning
Uchikoshi, Motonobu; AKIMOTO, Yohei
GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference (2025)
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2.
CMA-ES with Individual Adaptive Reevaluation for Black Box Value-At-Risk Optimization
Ng, Ze Kai; Morinaga, Daiki; AKIMOTO, Yohei
GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference Companion (2025)
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3.
Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables
AKIMOTO, Yohei; Gao, Xilin; Ng, Ze Kai; Morinaga, Daiki
GECCO 25: Proceedings of the Genetic and Evolutionary Computation Conference (2025)
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4.
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
Fujikawa, Mitsuhiro; Akimoto, Youhei; Sakuma, Jun; Fukuchi, Kazuto
Proceedings of The 28th International Conference on Artificial Intelligence and Statistics 258: 226 (2025)
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5.
CMA-ES with Learning Rate Adaptation
Nomura, Masahiro; AKIMOTO, Yohei; Ono, Isao
ACM Transactions on Evolutionary Learning and Optimization 5: 1 (2025)
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6.
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 (2025)
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7.
Stepwise Alignment for Constrained Language Model Policy Optimization
Wachi, Akifumi; Tran, Thien Q.; Sato, Rei; Tanabe, TakumiAKIMOTO, Yohei
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) (2024)
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8.
Data augmentation methods of dynamic model identification for harbor maneuvers using feedforward neural network
Kouki Wakita; Yoshiki Miyauchi; Youhei Akimoto; Atsuo Maki
Journal of Marine Science and Technology 30: 18 (2024)
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9.
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 (2024)
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10.
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 (2024)
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11.
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 (2024)
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12.
Development of a mathematical model for harbor maneuvers to realize modeling automation
Yoshiki Miyauchi; Youhei Akimoto; Atsuo Maki
Journal of Marine Science and Technology 29: 975 (2024)
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13.
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm
Ryoki Hamano; Kento Uchida; Shinichi Shirakawa; Daiki MorinagaYouhei Akimoto
Evolutionary Computation 1 (2024)
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14.
Sign-Averaging Covariance Matrix Adaptation Evolution Strategy
Morinaga, Daiki; AKIMOTO, Yohei
GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference 694 (2024)
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15.
Analysis of Search Space Design for Neural Architecture Search with Weight Sharing
AKIMOTO, Yohei; Shirakawa, Shinichi
2024 International Joint Conference on Neural Networks (IJCNN) (2024)
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16.
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
人工知能学会全国大会論文集 (2024)
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17.
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
人工知能学会全国大会論文集 (2024)
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18.
Convergence Rate of the (1+1)-Evolution Strategy on Locally Strongly Convex Functions with Lipschitz Continuous Gradient and their Monotonic Transformations
Morinaga, Daiki; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
IEEE Transactions on Evolutionary Computation 28: 501 (2024)
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19.
Poisoning Attack on Fairness of Fair Classification Algorithm through Threshold Control
Shengitan, Dai; Youhei, Akimoto; Sakuma, Jun; Fukuchi, Kazuto
電子情報通信学会技術研究報告 123: 49 (2024)
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20.
Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions
Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto
IEEE Transactions on Evolutionary Computation (2024)
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, Youhei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025)
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2.
Sign-Averaging Covariance Matrix Adaptation Evolution Strategy
Morinaga, Daiki; AKIMOTO, Yohei
Genetic and Evolutionary Computation Conference (GECCO ’24)
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3.
Analysis of Search Space Design for Neural Architecture Search with Weight Sharing
AKIMOTO, Yohei; Shirakawa, Shinichi
International Joint Conference on Neural Networks
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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, Youhei; Sakuma, Jun; Fukuchi, Kazuto
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025)
-
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))
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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)
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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)
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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)
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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)
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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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