Youhei Akimoto

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 113

Top Venues

Publications

Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. IEEE Trans. Evol. Comput. 28 (2) (2024)
Youhei Akimoto
Analysis of Surrogate-Assisted Information-Geometric Optimization Algorithms. Algorithmica 86 (1) (2024)
Amane Sakanashi, Rin Suyama, Atsuo Maki, Youhei Akimoto
Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control. CoRR (2024)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. GECCO Companion (2024)
Daiki Morinaga, Youhei Akimoto
Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. GECCO (2024)
Masahiro Nomura, Youhei Akimoto, Isao Ono
CMA-ES with Learning Rate Adaptation. CoRR (2024)
Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. CoRR (2024)
Daiki Morinaga, Youhei Akimoto
Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search. CoRR (2024)
Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. CoRR (2023)
Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks 166 (2023)
Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks. ACM Trans. Evol. Learn. Optim. 3 (2) (2023)
Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. IJCAI (2023)
Youhei Akimoto, Nikolaus Hansen
CMA-ES and Advanced Adaptation Mechanisms. GECCO Companion (2023)
Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. CoRR (2023)
Yoshimasa Akimoto, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Privformer: Privacy-preserving Transformer with MPC. EuroS&P (2023)
Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy. IEICE Trans. Inf. Syst. 106 (4) (2023)
Keita Saito, Akifumi Wachi, Koki Wataoka, Youhei Akimoto
Verbosity Bias in Preference Labeling by Large Language Models. CoRR (2023)
Masahiro Nomura, Youhei Akimoto, Isao Ono
CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? GECCO (2023)
Kouki Wakita, Yoshiki Miyauchi, Youhei Akimoto, Atsuo Maki
Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers. CoRR (2023)
Masahiro Nomura, Youhei Akimoto, Isao Ono
CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? CoRR (2023)
Hinata Edo, Yoshiki Miyauchi, Atsuo Maki, Youhei Akimoto
Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. GECCO (2023)
Jiayang Liu, Weiming Zhang, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Unauthorized AI cannot recognize me: Reversible adversarial example. Pattern Recognit. 134 (2023)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization. Appl. Soft Comput. 133 (2023)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Pattern Mining With Ordinal Utility. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and its Application to Berthing Control Tasks. CoRR (2023)
Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. IJCNN (2022)
Youhei Akimoto, Nikolaus Hansen
CMA-ES and advanced adaptation mechanisms. GECCO Companion (2022)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. AAAI (2022)
Naoki Sakamoto, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models. IEEE Access 10 (2022)
Youhei Akimoto
Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function. CoRR (2022)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. GECCO (2022)
Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. IJCNN (2022)
Yasen Wang, Youhei Akimoto
On the effect of the sampling ratio of past trajectories in the combination of evolutionary algorithm and deep reinforcement learning. GECCO Companion (2022)
Youhei Akimoto
Monotone improvement of information-geometric optimization algorithms with a surrogate function. GECCO (2022)
Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. CoRR (2022)
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. GECCO (2022)
Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Domain Generalization via Adversarially Learned Novel Domains. IEEE Access 10 (2022)
Naoki Sakamoto, Youhei Akimoto
Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization. Evol. Comput. 30 (4) (2022)
Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. NeurIPS (2022)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization. CoRR (2022)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. CoRR (2022)
Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki
Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control. ACM Trans. Evol. Learn. Optim. 2 (1) (2022)
Kouki Wakita, Youhei Akimoto, Dimas M. Rachman, Yoshiki Miyauchi, Umeda Naoya, Atsuo Maki
Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning. CoRR (2022)
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization. CoRR (2022)
Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. CoRR (2022)
Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. SIAM J. Optim. 32 (2) (2022)
Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Domain Generalization Via Adversarially Learned Novel Domains. ICME (2022)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Black-Box Min-Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation. CoRR (2022)
Youhei Akimoto
Black-Box Min-Max Optimization using CMA-ES. ITAT (2021)
Rei Sato, Jun Sakuma, Youhei Akimoto
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. AAAI (2021)
Youhei Akimoto
Saddle point optimization with approximate minimization oracle. GECCO (2021)
Yoshiki Miyauchi, Atsuo Maki, Naoya Umeda, Dimas M. Rachman, Youhei Akimoto
System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES. CoRR (2021)
Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution. CoRR (2021)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Adaptive scenario subset selection for min-max black-box continuous optimization. GECCO (2021)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation. CoRR (2021)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions. CoRR (2021)
Kouki Wakita, Atsuo Maki, Umeda Naoya, Yoshiki Miyauchi, Tohga Shimoji, Dimas M. Rachman, Youhei Akimoto
On Neural Network Identification for Low-Speed Ship Maneuvering Model. CoRR (2021)
Youhei Akimoto, Nikolaus Hansen
CMA-ES and advanced adaptation mechanisms. GECCO Companion (2021)
Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki
Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control. CoRR (2021)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. GECCO (2021)
Youhei Akimoto
Saddle Point Optimization with Approximate Minimization Oracle. CoRR (2021)
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
Warm Starting CMA-ES for Hyperparameter Optimization. AAAI (2021)
Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Level generation for angry birds with sequential VAE and latent variable evolution. GECCO (2021)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Pattern Mining with Ordinal Utility. CoRR (2020)
Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. IEEE Trans. Evol. Comput. 24 (6) (2020)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. Theor. Comput. Sci. 832 (2020)
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
Warm Starting CMA-ES for Hyperparameter Optimization. CoRR (2020)
Hiromu Yakura, Youhei Akimoto, Jun Sakuma
Generate (Non-Software) Bugs to Fool Classifiers. AAAI (2020)
Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Deep generative model for non-convex constraint handling. GECCO (2020)
Youhei Akimoto, Naoki Sakamoto, Makoto Ohtani
Multi-fidelity Optimization Approach Under Prior and Posterior Constraints and Its Application to Compliance Minimization. PPSN (1) (2020)
Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. CoRR (2020)
Rei Sato, Jun Sakuma, Youhei Akimoto
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. CoRR (2020)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Pattern Mining with Ordinal Utility. KDD (2020)
Youhei Akimoto, Nikolaus Hansen
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. 28 (3) (2020)
Youhei Akimoto, Nikolaus Hansen
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. CoRR (2019)
Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto
Well placement optimization under geological statistical uncertainty. GECCO (2019)
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. ICML (2019)
Daiki Morinaga, Youhei Akimoto
Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients. FOGA (2019)
Youhei Akimoto, Takuma Shimizu, Takahiro Yamaguchi
Adaptive objective selection for multi-fidelity optimization. GECCO (2019)
Hiromu Yakura, Youhei Akimoto, Jun Sakuma
Generate (non-software) Bugs to Fool Classifiers. CoRR (2019)
Naoki Sakamoto, Youhei Akimoto
Adaptive ranking based constraint handling for explicitly constrained black-box optimization. GECCO (2019)
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. CoRR (2019)
Youhei Akimoto, Nikolaus Hansen
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) (2019)
Kouhei Nishida, Hernán E. Aguirre, Shota Saito, Shinichi Shirakawa, Youhei Akimoto
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. CoRR (2018)
Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto
Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support. GECCO (Companion) (2018)
Kyotaro Ohashi, Natsuki Fujiyoshi, Naoki Sakamoto, Youhei Akimoto
Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systems. GECCO (Companion) (2018)
Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. AAAI (2018)
Kouhei Nishida, Youhei Akimoto
PSA-CMA-ES: CMA-ES with population size adaptation. GECCO (2018)
Naoki Sakamoto, Youhei Akimoto
Ranking Based Linear Constraint Handling Method with Adaptive Penalty. CoRR (2018)
Shota Saito, Shinichi Shirakawa, Youhei Akimoto
Embedded feature selection using probabilistic model-based optimization. GECCO (Companion) (2018)
Kouhei Nishida, Youhei Akimoto
Benchmarking the PSA-CMA-ES on the BBOB noiseless testbed. GECCO (Companion) (2018)
Youhei Akimoto, Nikolaus Hansen
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) (2018)
Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. CoRR (2018)
Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. GECCO (2018)
Youhei Akimoto, Anne Auger, Tobias Glasmachers
Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. CoRR (2018)
Takahiro Yamaguchi, Youhei Akimoto
A note on the CMA-ES for functions with periodic variables. GECCO (Companion) (2018)
Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara
Sample Reuse via Importance Sampling in Information Geometric Optimization. CoRR (2018)
Youhei Akimoto, Anne Auger, Tobias Glasmachers
Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. GECCO (2018)
Youhei Akimoto, Nikolaus Hansen
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) (2017)
Youhei Akimoto, Anne Auger, Nikolaus Hansen
Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. FOGA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Youhei Akimoto