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
関連記事はまだありません。
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1.
Mixed-Categorical Black-Box Optimization via Information-Geometric Bilevel Decomposition
Marc Ong; Shinichi Shirakawa; Youhei Akimoto
(2027)
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2.
Beyond IGO-Flow: Toward Convergence Analysis of IGO in Continuous Spaces
Ryosuke Kimura; Youhei Akimoto
(2027)
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3.
Equilibrium Analysis of a Variable Metric Evolution Strategy
Stephan Frank; Youhei Akimoto
(2027) Semantic Scholar
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4.
Evolutionary Bilevel Reward Shaping for Generalization in Reinforcement Learning
Ekasit Usaratniwart; Xilin Gao; Marc Ong; Youhei Akimoto
(2027)
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5.
dd-RCMA-ES: CMA-ES with Projection-Based Restricted Covariance Matrix Adaptation for High-Dimensional Problems
Youhei Akimoto; Nikolaus Hansen
ACM Transactions on Evolutionary Learning and Optimization (2026) Semantic Scholar
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6.
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment
Kusaka, Shigeki; Saito, Keita; Kudo, Mikoto; Tanabe, Takumi (+1 著者) AKIMOTO, Yohei
Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI-26) 37538 (2026)
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7.
Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
KUDO, Mikoto; AKIMOTO, Yohei
Proceedings of 17th Asian Conference on Machine Learning (ACML) (2025)
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8.
A Provable Approach for End-to-End Safe Reinforcement Learning
WACHI, Akifumi; Miyaguchi, Kohei; Tanabe, Takumi; Sato, ReiAKIMOTO, Yohei
Advances in Neural Information Processing Systems 38 (NeurIPS 2025) (2025)
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9.
Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search
Daiki Morinaga; Youhei Akimoto
IEEE Transactions on Evolutionary Computation 29: 1976 (2025) Semantic Scholar
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10.
CMA-ES with Individual Adaptive Reevaluation for Black Box Value-At-Risk Optimization
Ze Kai Ng; Daiki Morinaga; Youhei Akimoto
Proceedings of the Genetic and Evolutionary Computation Conference Companion 495 (2025)
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11.
Feature selection based on cluster assumption in PU learning
Motonobu Uchikoshi; Youhei Akimoto
Proceedings of the Genetic and Evolutionary Computation Conference 490 (2025)
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12.
Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables
Youhei Akimoto; Xilin Gao; Ze Kai Ng; Daiki Morinaga
Proceedings of the Genetic and Evolutionary Computation Conference 692 (2025)
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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 33: 141 (2025)
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14.
Conceptual design on the field of view of celestial navigation systems for maritime autonomous surface ships
Wakita, Kouki; Hane, Fuyuki; Sekiguchi, Takeshi; Shimizu, Shigehito (+2 著者) Maki, Atsuo
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2025) Semantic Scholar
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15.
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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16.
CMA-ES with Learning Rate Adaptation
Masahiro Nomura; Youhei Akimoto; Isao Ono
ACM Transactions on Evolutionary Learning and Optimization 5: 1 (2025)
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17.
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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18.
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) 104471 (2024)
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19.
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) Semantic Scholar
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20.
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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1.
CMA-ESによるブラックボックス最適化
野村, 将寛; 秋本, 洋平
技術評論社 2025年11月 (ISBN: 9784297152413)
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101.
Well Placement Optimization under Geological Statistical Uncertainty
Miyagi, Atsuhiro; Akimoto, Yohei; Yamamoto, Hajime
Genetic and Evolutionary Computation Conference 2019
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102.
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Akimoto, Yohei; Shirakawa, Shinichi; Yoshinari, Nozomu; Uchida, Kento; Saito, Shota; Nishida, Kouhei
International Conference on Machine Learning
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103.
Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients
Daiki, Morinaga; 秋本, 洋平
ACM/SIGEVO Conference on Foundations of Genetic Algorithms
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104.
Generate (non-software) Bugs to Fool Classifiers
Yakura, Hiromu; Akimoto, Yohei; Sakuma, Jun
Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020
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105.
CMA-ES and Advanced Adaptation Mechanisms
Akimoto, Youhei; Hansen, Nikolaus
Genetic and Evolutionary Computation Conference (GECCO)
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106.
Generate (non-software) Bugs to Fool Classifiers
Yakura, Hiromu; Akimoto, Yohei; Sakuma, Jun
Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020
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107.
Deep Generative Model for Non-convex Constraint Handling
Sakamoto, Naoki; Semmatsu, Eiji; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Youhei
Genetic and Evolutionary Computation Conference (GECCO)
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108.
Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Function
Morinaga, Daiki; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
GECCO '21
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109.
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
Tanabe, Takumi; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
GECCO '21
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110.
Saddle Point Optimization with Approximate Minimization Oracle
Youhei, Akimoto
GECCO '21
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111.
Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
Miyagi, Atsuhiro; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
GECCO '21
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112.
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
Sato, Rei; Sakuma, Jun; Akimoto, Yohei
Proceedings of the AAAI Conference on Artificial Intelligence
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113.
Warm Starting CMA-ES for Hyperparameter Optimization
Nomura, Masahiro; Watanabe, Shuhei; Akimoto, Yohei; Ozaki, Yoshihiko; Onishi, Masaki
Proceedings of the AAAI Conference on Artificial Intelligence
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114.
Multi-Fidelity Optimization Approach under Prior and Posterior Constraints and its Application to Compliance Minimization
Akimoto, Yohei; Sakamoto, Naoki; Ohtani, Makoto
Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. Lecture Notes in Computer Science
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115.
Statistically Significant Pattern Mining with Ordinal Utility
Tran, Thien Q; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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116.
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
Tran, Thien Q; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
36th AAAI Conference on Artificial Intelligence
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117.
CMA-ES and Advanced Adaptation Mechanisms
Akimoto, Yohei; Hansen, Nikolaus
GECCO '21 Genetic and Evolutionary Computation Conference
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118.
モデル化誤差に対してロバストな着桟制御に向けた検討
秋本, 洋平; 宮内, 新喜; 牧, 敦生
令和3年 日本船舶海洋工学会 春季講演会
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119.
ベクツイン舵のジョイスティック操船の高機能化に向けた予備的研究
秋本, 洋平; 牧, 敦生; 脇田, 康希
令和3年 日本船舶海洋工学会 春季講演会
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120.
CMA-ESによる大域的最適化に基づく低層なニューラル・ネットワークを用いた船舶のトラッキング制御について
牧, 敦生; 脇田, 康希; 正司, 公一; 宮内, 新喜; 梅田, 直哉; 秋本, 洋平
令和3年 日本船舶海洋工学会 春季講演会
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