Youhei Akimoto

156 papers A* 11A 36B 4Journal 74Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment. AAAI Shigeki Kusaka, Keita Saito, Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto
2026	J	`jnl`	Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning. CoRR Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto
2025	J	`jnl`	A Provable Approach for End-to-End Safe Reinforcement Learning. CoRR Akifumi Wachi, Kohei Miyaguchi, Takumi Tanabe, Rei Sato, Youhei Akimoto
2025	—	`conf`	CMA-ES with Individual Adaptive Reevaluation for Black-Box Value-At-Risk Optimization. GECCO Companion Ze Kai Ng, Daiki Morinaga, Youhei Akimoto
2025	J	`jnl`	CMA-ES with Learning Rate Adaptation. ACM Trans. Evol. Learn. Optim. Masahiro Nomura, Youhei Akimoto, Isao Ono
2025	A	`conf`	Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables. GECCO Youhei Akimoto, Xilin Gao, Ze Kai Ng, Daiki Morinaga
2025	J	`jnl`	Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables. CoRR Youhei Akimoto, Xilin Gao, Ze Kai Ng, Daiki Morinaga
2025	J	`jnl`	Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment. CoRR Shigeki Kusaka, Keita Saito, Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto
2025	A	`conf`	Feature selection based on cluster assumption in PU learning. GECCO Motonobu Uchikoshi, Youhei Akimoto
2025	J	`jnl`	Feature selection based on cluster assumption in PU learning. CoRR Motonobu Uchikoshi, Youhei Akimoto
2025	A	`conf`	Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. AISTATS Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi
2025	J	`jnl`	Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. Evol. Comput. Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
2025	J	`jnl`	Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search. IEEE Trans. Evol. Comput. Daiki Morinaga, Youhei Akimoto
2025	J	`jnl`	Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing. CoRR Thien Q. Tran, Akifumi Wachi, Rei Sato, Takumi Tanabe, Youhei Akimoto
2024	B	`conf`	Analysis of Search Space Design for Neural Architecture Search with Weight Sharing. IJCNN Youhei Akimoto, Shinichi Shirakawa
2024	J	`jnl`	Analysis of Surrogate-Assisted Information-Geometric Optimization Algorithms. Algorithmica Youhei Akimoto
2024	J	`jnl`	CMA-ES with Learning Rate Adaptation. CoRR Masahiro Nomura, Youhei Akimoto, Isao Ono
2024	J	`jnl`	Conceptual Design on the Field of View of Celestial Navigation Systems for Maritime Autonomous Surface Ships. CoRR Kouki Wakita, Fuyuki Hane, Takeshi Sekiguchi, Shigehito Shimizu, Shinji Mitani, Youhei Akimoto, Atsuo Maki
2024	J	`jnl`	Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. IEEE Trans. Evol. Comput. Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2024	J	`jnl`	Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. CoRR Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi
2024	—	`conf`	Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. GECCO Companion Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2024	J	`jnl`	Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks. CoRR Kouki Wakita, Youhei Akimoto, Atsuo Maki
2024	A	`conf`	Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. GECCO Daiki Morinaga, Youhei Akimoto
2024	J	`jnl`	Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control. CoRR Amane Sakanashi, Rin Suyama, Atsuo Maki, Youhei Akimoto
2024	A*	`conf`	Stepwise Alignment for Constrained Language Model Policy Optimization. NeurIPS Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto
2024	J	`jnl`	Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. CoRR Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
2024	J	`jnl`	Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search. CoRR Daiki Morinaga, Youhei Akimoto
2023	J	`jnl`	ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
2023	J	`jnl`	Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization. Appl. Soft Comput. Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy. IEICE Trans. Inf. Syst. Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	—	`conf`	CMA-ES and Advanced Adaptation Mechanisms. GECCO Companion Youhei Akimoto, Nikolaus Hansen
2023	A	`conf`	CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? GECCO Masahiro Nomura, Youhei Akimoto, Isao Ono
2023	J	`jnl`	CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? CoRR Masahiro Nomura, Youhei Akimoto, Isao Ono
2023	J	`jnl`	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. Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and its Application to Berthing Control Tasks. CoRR Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers. CoRR Kouki Wakita, Yoshiki Miyauchi, Youhei Akimoto, Atsuo Maki
2023	J	`jnl`	Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. CoRR Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	A	`conf`	Privformer: Privacy-preserving Transformer with MPC. EuroS&P Yoshimasa Akimoto, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	A*	`conf`	Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. IJCAI Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. CoRR Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Statistically Significant Pattern Mining With Ordinal Utility. IEEE Trans. Knowl. Data Eng. Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	A	`conf`	Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. GECCO Hinata Edo, Yoshiki Miyauchi, Atsuo Maki, Youhei Akimoto
2023	J	`jnl`	Unauthorized AI cannot recognize me: Reversible adversarial example. Pattern Recognit. Jiayang Liu, Weiming Zhang, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Verbosity Bias in Preference Labeling by Large Language Models. CoRR Keita Saito, Akifumi Wachi, Koki Wataoka, Youhei Akimoto
2022	J	`jnl`	A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization. CoRR Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022	A	`conf`	A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. GECCO Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022	J	`jnl`	Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization. Evol. Comput. Naoki Sakamoto, Youhei Akimoto
2022	J	`jnl`	Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization. CoRR Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Black-Box Min-Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation. CoRR Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	A	`conf`	Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. GECCO Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. IJCNN Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. CoRR Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	—	`conf`	CMA-ES and advanced adaptation mechanisms. GECCO Companion Youhei Akimoto, Nikolaus Hansen
2022	J	`jnl`	Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning. CoRR Kouki Wakita, Youhei Akimoto, Dimas M. Rachman, Yoshiki Miyauchi, Umeda Naoya, Atsuo Maki
2022	J	`jnl`	Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. CoRR Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. IJCNN Syou Hirofumi, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	A	`conf`	Domain Generalization Via Adversarially Learned Novel Domains. ICME Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Domain Generalization via Adversarially Learned Novel Domains. IEEE Access Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models. IEEE Access Naoki Sakamoto, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. IJCNN Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. SIAM J. Optim. Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
2022	A*	`conf`	Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. NeurIPS Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. CoRR Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function. CoRR Youhei Akimoto
2022	A	`conf`	Monotone improvement of information-geometric optimization algorithms with a surrogate function. GECCO Youhei Akimoto
2022	—	`conf`	On the effect of the sampling ratio of past trajectories in the combination of evolutionary algorithm and deep reinforcement learning. GECCO Companion Yasen Wang, Youhei Akimoto
2022	J	`jnl`	Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control. ACM Trans. Evol. Learn. Optim. Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki
2022	A*	`conf`	Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. AAAI Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2021	A	`conf`	Adaptive scenario subset selection for min-max black-box continuous optimization. GECCO Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A*	`conf`	AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. AAAI Rei Sato, Jun Sakuma, Youhei Akimoto
2021	—	`conf`	Black-Box Min-Max Optimization using CMA-ES. ITAT Youhei Akimoto
2021	—	`conf`	CMA-ES and advanced adaptation mechanisms. GECCO Companion Youhei Akimoto, Nikolaus Hansen
2021	J	`jnl`	Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions. CoRR Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A	`conf`	Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. GECCO Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	J	`jnl`	Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution. CoRR Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A	`conf`	Level generation for angry birds with sequential VAE and latent variable evolution. GECCO Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	J	`jnl`	On Neural Network Identification for Low-Speed Ship Maneuvering Model. CoRR Kouki Wakita, Atsuo Maki, Umeda Naoya, Yoshiki Miyauchi, Tohga Shimoji, Dimas M. Rachman, Youhei Akimoto
2021	J	`jnl`	Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control. CoRR Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki
2021	J	`jnl`	Saddle Point Optimization with Approximate Minimization Oracle. CoRR Youhei Akimoto
2021	A	`conf`	Saddle point optimization with approximate minimization oracle. GECCO Youhei Akimoto
2021	J	`jnl`	System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES. CoRR Yoshiki Miyauchi, Atsuo Maki, Naoya Umeda, Dimas M. Rachman, Youhei Akimoto
2021	J	`jnl`	Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation. CoRR Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2021	A*	`conf`	Warm Starting CMA-ES for Hyperparameter Optimization. AAAI Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
2020	J	`jnl`	AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. CoRR Rei Sato, Jun Sakuma, Youhei Akimoto
2020	A	`conf`	Deep generative model for non-convex constraint handling. GECCO Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2020	J	`jnl`	Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. Youhei Akimoto, Nikolaus Hansen
2020	J	`jnl`	Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. IEEE Trans. Evol. Comput. Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
2020	A*	`conf`	Generate (Non-Software) Bugs to Fool Classifiers. AAAI Hiromu Yakura, Youhei Akimoto, Jun Sakuma
2020	J	`jnl`	Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. CoRR Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
2020	—	`conf`	Multi-fidelity Optimization Approach Under Prior and Posterior Constraints and Its Application to Compliance Minimization. PPSN (1) Youhei Akimoto, Naoki Sakamoto, Makoto Ohtani
2020	J	`jnl`	Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. Theor. Comput. Sci. Youhei Akimoto, Anne Auger, Nikolaus Hansen
2020	A*	`conf`	Statistically Significant Pattern Mining with Ordinal Utility. KDD Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2020	J	`jnl`	Statistically Significant Pattern Mining with Ordinal Utility. CoRR Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2020	J	`jnl`	Warm Starting CMA-ES for Hyperparameter Optimization. CoRR Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi
2019	A*	`conf`	Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. ICML Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
2019	J	`jnl`	Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. CoRR Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida
2019	A	`conf`	Adaptive objective selection for multi-fidelity optimization. GECCO Youhei Akimoto, Takuma Shimizu, Takahiro Yamaguchi
2019	A	`conf`	Adaptive ranking based constraint handling for explicitly constrained black-box optimization. GECCO Naoki Sakamoto, Youhei Akimoto
2019	—	`conf`	CMA-ES and advanced adaptation mechanisms. GECCO (Companion) Youhei Akimoto, Nikolaus Hansen
2019	J	`jnl`	Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. CoRR Youhei Akimoto, Nikolaus Hansen
2019	A	`conf`	Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients. FOGA Daiki Morinaga, Youhei Akimoto
2019	J	`jnl`	Generate (non-software) Bugs to Fool Classifiers. CoRR Hiromu Yakura, Youhei Akimoto, Jun Sakuma
2019	A	`conf`	Well placement optimization under geological statistical uncertainty. GECCO Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto
2018	—	`conf`	A note on the CMA-ES for functions with periodic variables. GECCO (Companion) Takahiro Yamaguchi, Youhei Akimoto
2018	A	`conf`	Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. GECCO Kento Uchida, Shinichi Shirakawa, Youhei Akimoto
2018	—	`conf`	Benchmarking the PSA-CMA-ES on the BBOB noiseless testbed. GECCO (Companion) Kouhei Nishida, Youhei Akimoto
2018	—	`conf`	CMA-ES and advanced adaptation mechanisms. GECCO (Companion) Youhei Akimoto, Nikolaus Hansen
2018	J	`jnl`	Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule. CoRR Youhei Akimoto, Anne Auger, Tobias Glasmachers
2018	A	`conf`	Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. GECCO Youhei Akimoto, Anne Auger, Tobias Glasmachers
2018	A*	`conf`	Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. AAAI Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
2018	J	`jnl`	Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. CoRR Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto
2018	—	`conf`	Embedded feature selection using probabilistic model-based optimization. GECCO (Companion) Shota Saito, Shinichi Shirakawa, Youhei Akimoto
2018	—	`conf`	Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systems. GECCO (Companion) Kyotaro Ohashi, Natsuki Fujiyoshi, Naoki Sakamoto, Youhei Akimoto
2018	A	`conf`	PSA-CMA-ES: CMA-ES with population size adaptation. GECCO Kouhei Nishida, Youhei Akimoto
2018	J	`jnl`	Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. CoRR Kouhei Nishida, Hernán E. Aguirre, Shota Saito, Shinichi Shirakawa, Youhei Akimoto
2018	J	`jnl`	Ranking Based Linear Constraint Handling Method with Adaptive Penalty. CoRR Naoki Sakamoto, Youhei Akimoto
2018	J	`jnl`	Sample Reuse via Importance Sampling in Information Geometric Optimization. CoRR Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara
2018	—	`conf`	Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support. GECCO (Companion) Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto
2017	—	`conf`	Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed. GECCO (Companion) Takahiro Yamaguchi, Youhei Akimoto
2017	—	`conf`	CMA-ES and advanced adaptation mechanisms. GECCO (Companion) Youhei Akimoto, Nikolaus Hansen
2017	A	`conf`	Effect of the mean vector learning rate in CMA-ES. GECCO Hidekazu Miyazawa, Youhei Akimoto
2017	J	`jnl`	Fast Eigen Decomposition for Low-Rank Matrix Approximation. CoRR Youhei Akimoto
2017	—	`conf`	Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift. GECCO (Companion) Keigo Tanaka, Youhei Akimoto
2017	—	`conf`	Modified box constraint handling for the covariance matrix adaptation evolution strategy. GECCO (Companion) Naoki Sakamoto, Youhei Akimoto
2017	J	`jnl`	Optimal cluster head selection and rotation of cognitive wireless sensor networks for simultaneous data gathering and long life system. Int. J. Distributed Sens. Networks Osamu Takyu, Shohei Fujii, Youhei Akimoto, Mai Ohta, Takeo Fujii, Fumihito Sasamori, Shiro Handa
2017	A	`conf`	Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. FOGA Youhei Akimoto, Anne Auger, Nikolaus Hansen
2016	—	`conf`	CMA-ES and Advanced Adaptation Mechanisms. GECCO (Companion) Youhei Akimoto, Anne Auger, Nikolaus Hansen
2016	—	`conf`	Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed. GECCO (Companion) Kouhei Nishida, Youhei Akimoto
2016	—	`conf`	Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed. GECCO (Companion) Kouhei Nishida, Youhei Akimoto
2016	—	`conf`	Introduction to Randomized Continuous Optimization. GECCO (Companion) Youhei Akimoto, Anne Auger, Nikolaus Hansen
2016	A	`conf`	Online Model Selection for Restricted Covariance Matrix Adaptation. PPSN Youhei Akimoto, Nikolaus Hansen
2016	A	`conf`	Population Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the Natural Gradient. GECCO Kouhei Nishida, Youhei Akimoto
2016	A	`conf`	Projection-Based Restricted Covariance Matrix Adaptation for High Dimension. GECCO Youhei Akimoto, Nikolaus Hansen
2015	J	`jnl`	Analysis of runtime of optimization algorithms for noisy functions over discrete codomains. Theor. Comput. Sci. Youhei Akimoto, Sandra Astete Morales, Olivier Teytaud
2015	—	`conf`	Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution. LION Martin Drozdik, Hernán E. Aguirre, Youhei Akimoto, Kiyoshi Tanaka
2015	J	`jnl`	Computational Cost Reduction of Nondominated Sorting Using the M-Front. IEEE Trans. Evol. Comput. Martin Drozdik, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka
2015	—	`conf`	Continuous Optimization and CMA-ES. GECCO (Companion) Youhei Akimoto, Anne Auger, Nikolaus Hansen
2015	—	`conf`	Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM. CAIP (2) Tze-Wei Yeoh, Saúl Zapotecas Martínez, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka
2015	A	`conf`	Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. GECCO Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara
2015	—	`conf`	Theory of Evolution Strategies and Related Algorithms. GECCO (Companion) Youhei Akimoto, Anne Auger
2014	A	`conf`	Comparison-based natural gradient optimization in high dimension. GECCO Youhei Akimoto, Anne Auger, Nikolaus Hansen
2014	—	`conf`	Genetic algorithm assisted by a SVM for feature selection in gait classification. ISPACS TzeWei Yeoh, Saúl Zapotecas Martínez, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka
2014	A	`conf`	Natural Gradient Approach for Linearly Constrained Continuous Optimization. PPSN Youhei Akimoto, Shinichi Shirakawa
2013	—	`conf`	Asian female face classification incorporating personal attractive preference. ISPACS MinZhi Chua, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka
2013	A	`conf`	Objective improvement in information-geometric optimization. FOGA Youhei Akimoto, Yann Ollivier
2012	J	`jnl`	Analysis of a Natural Gradient Algorithm on Monotonic Convex-Quadratic-Composite Functions CoRR Youhei Akimoto
2012	A	`conf`	Analysis of a natural gradient algorithm on monotonic convex-quadratic-composite functions. GECCO Youhei Akimoto
2012	—	`conf`	Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions. PPSN (1) Youhei Akimoto, Anne Auger, Nikolaus Hansen
2012	J	`jnl`	Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions CoRR Youhei Akimoto, Anne Auger, Nikolaus Hansen
2012	J	`jnl`	Objective Improvement in Information-Geometric Optimization CoRR Youhei Akimoto, Yann Ollivier
2012	J	`jnl`	Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2012	J	`jnl`	Theoretical foundation for CMA-ES from information geometric perspective CoRR Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010	—	`conf`	Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010	A	`conf`	Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2009	A	`conf`	Adaptation of expansion rate for real-coded crossovers. GECCO Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2008	A	`conf`	Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. GECCO Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi