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。
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81.
地質の不確実性を考慮した井戸配置最適化
宮城, 充宏; 山本, 肇; 秋本, 洋平
進化計算シンポジウム2018
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82.
Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution: Toward Finite-Sample Analysis on Convex Quadratic Functions
Uchida, Kento; 秋本, 洋平; Shirakawa, Shinichi
2018 JPNSEC International Workshop on Evolutionary Computation
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83.
Adaptive Objective Selection for Multi-Fidelity Optimization
Akimoto, Yohei; Shimizu, Takuma; Yamaguchi, Takahiro
Genetic and Evolutionary Computation Conference 2019
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84.
Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization
Sakamoto, Naoki; Akimoto, Yohei
Genetic and Evolutionary Computation Conference
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85.
Well Placement Optimization under Geological Statistical Uncertainty
Miyagi, Atsuhiro; Akimoto, Yohei; Yamamoto, Hajime
Genetic and Evolutionary Computation Conference 2019
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86.
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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87.
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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88.
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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89.
CMA-ES and Advanced Adaptation Mechanisms
Akimoto, Youhei; Hansen, Nikolaus
Genetic and Evolutionary Computation Conference (GECCO)
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90.
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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91.
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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92.
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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93.
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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94.
Saddle Point Optimization with Approximate Minimization Oracle
Youhei, Akimoto
GECCO '21
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95.
Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
Miyagi, Atsuhiro; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
GECCO '21
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96.
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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97.
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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98.
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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99.
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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100.
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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