Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. - Youhei Akimoto; Jun Sakuma; Isao Ono; Shigenobu Kobayashi (GECCO, 2008)

Adaptation of expansion rate for real-coded crossovers. - Youhei Akimoto; Jun Sakuma; Isao Ono; Shigenobu Kobayashi (GECCO, 2009)

Theoretical analysis of evolutionary computation on continuously differentiable functions. - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (GECCO, 2010)

Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (PPSN (1), 2010)

Analysis of a natural gradient algorithm on monotonic convex-quadratic-composite functions. - Youhei Akimoto (GECCO, 2012)

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $ mathcal C^2$ -composite Functions. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (PPSN (1), 2012)

Theoretical Foundation for CMA-ES from Information Geometry Perspective. - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (Algorithmica, 2012)

Theoretical foundation for CMA-ES from information geometric perspective - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (CoRR, 2012)

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions - Youhei Akimoto; Anne Auger; Nikolaus Hansen (CoRR, 2012)

Objective improvement in information-geometric optimization. - Youhei Akimoto; Yann Ollivier (FOGA, 2013)

Asian female face classification incorporating personal attractive preference. - MinZhi Chua; Youhei Akimoto; Hernán E. Aguirre; Kiyoshi Tanaka (ISPACS, 2013)

Comparison-based natural gradient optimization in high dimension. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO, 2014)

Genetic algorithm assisted by a SVM for feature selection in gait classification. - TzeWei Yeoh; Saúl Zapotecas Martínez; Youhei Akimoto; Hernán E. Aguirre; Kiyoshi Tanaka (ISPACS, 2014)

Natural Gradient Approach for Linearly Constrained Continuous Optimization. - Youhei Akimoto; Shinichi Shirakawa (PPSN, 2014)

Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM. - Tze-Wei Yeoh; Saúl Zapotecas Martínez; Youhei Akimoto; Hernán E. Aguirre; Kiyoshi Tanaka (CAIP (2), 2015)

Theory of Evolution Strategies and Related Algorithms. - Youhei Akimoto; Anne Auger (GECCO (Companion), 2015)

Continuous Optimization and CMA-ES. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2015)

Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. - Shinichi Shirakawa; Youhei Akimoto; Kazuki Ouchi; Kouzou Ohara (GECCO, 2015)

Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution. - Martin Drozdik; Hernán E. Aguirre; Youhei Akimoto; Kiyoshi Tanaka (LION, 2015)

Analysis of runtime of optimization algorithms for noisy functions over discrete codomains. - Youhei Akimoto; Sandra Astete Morales; Olivier Teytaud (Theor. Comput. Sci., 2015)

Computational Cost Reduction of Nondominated Sorting Using the M-Front. - Martin Drozdik; Youhei Akimoto; Hernán E. Aguirre; Kiyoshi Tanaka (IEEE Trans. Evol. Comput., 2015)

Introduction to Randomized Continuous Optimization. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2016)

CMA-ES and Advanced Adaptation Mechanisms. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (GECCO (Companion), 2016)

Projection-Based Restricted Covariance Matrix Adaptation for High Dimension. - Youhei Akimoto; Nikolaus Hansen (GECCO, 2016)

Population Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the Natural Gradient. - Kouhei Nishida; Youhei Akimoto (GECCO, 2016)

Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed. - Kouhei Nishida; Youhei Akimoto (GECCO (Companion), 2016)

Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed. - Kouhei Nishida; Youhei Akimoto (GECCO (Companion), 2016)

Online Model Selection for Restricted Covariance Matrix Adaptation. - Youhei Akimoto; Nikolaus Hansen (PPSN, 2016)

CMA-ES and advanced adaptation mechanisms. - Youhei Akimoto; Nikolaus Hansen (GECCO (Companion), 2017)

Effect of the mean vector learning rate in CMA-ES. - Hidekazu Miyazawa; Youhei Akimoto (GECCO, 2017)

Modified box constraint handling for the covariance matrix adaptation evolution strategy. - Naoki Sakamoto; Youhei Akimoto (GECCO (Companion), 2017)

Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift. - Keigo Tanaka; Youhei Akimoto (GECCO (Companion), 2017)

Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed. - Takahiro Yamaguchi; Youhei Akimoto (GECCO (Companion), 2017)

Fast Eigen Decomposition for Low-Rank Matrix Approximation. - Youhei Akimoto (CoRR, 2017)

Optimal cluster head selection and rotation of cognitive wireless sensor networks for simultaneous data gathering and long life system. - Osamu Takyu; Shohei Fujii; Youhei Akimoto; Mai Ohta; Takeo Fujii; Fumihito Sasamori; Shiro Handa (Int. J. Distributed Sens. Networks, 2017)

Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. - Shinichi Shirakawa; Yasushi Iwata; Youhei Akimoto (AAAI, 2018)

Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. - Youhei Akimoto; Anne Auger; Tobias Glasmachers (GECCO, 2018)

Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support. - Atsuhiro Miyagi; Youhei Akimoto; Hajime Yamamoto (GECCO (Companion), 2018)

PSA-CMA-ES: CMA-ES with population size adaptation. - Kouhei Nishida; Youhei Akimoto (GECCO, 2018)

Benchmarking the PSA-CMA-ES on the BBOB noiseless testbed. - Kouhei Nishida; Youhei Akimoto (GECCO (Companion), 2018)

Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systems. - Kyotaro Ohashi; Natsuki Fujiyoshi; Naoki Sakamoto; Youhei Akimoto (GECCO (Companion), 2018)

Embedded feature selection using probabilistic model-based optimization. - Shota Saito; Shinichi Shirakawa; Youhei Akimoto (GECCO (Companion), 2018)

Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. - Kento Uchida; Shinichi Shirakawa; Youhei Akimoto (GECCO, 2018)

A note on the CMA-ES for functions with periodic variables. - Takahiro Yamaguchi; Youhei Akimoto (GECCO (Companion), 2018)

Sample Reuse via Importance Sampling in Information Geometric Optimization. - Shinichi Shirakawa; Youhei Akimoto; Kazuki Ouchi; Kouzou Ohara (CoRR, 2018)

Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. - Kouhei Nishida; Hernán E. Aguirre; Shota Saito; Shinichi Shirakawa; Youhei Akimoto (CoRR, 2018)

Ranking Based Linear Constraint Handling Method with Adaptive Penalty. - Naoki Sakamoto; Youhei Akimoto (CoRR, 2018)

Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients. - Daiki Morinaga; Youhei Akimoto (FOGA, 2019)

Adaptive objective selection for multi-fidelity optimization. - Youhei Akimoto; Takuma Shimizu; Takahiro Yamaguchi (GECCO, 2019)

Well placement optimization under geological statistical uncertainty. - Atsuhiro Miyagi; Youhei Akimoto; Hajime Yamamoto (GECCO, 2019)

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. - Youhei Akimoto; Shinichi Shirakawa; Nozomu Yoshinari; Kento Uchida; Shota Saito; Kouhei Nishida (ICML, 2019)

Generate (Non-Software) Bugs to Fool Classifiers. - Hiromu Yakura; Youhei Akimoto; Jun Sakuma (AAAI, 2020)

Deep generative model for non-convex constraint handling. - Naoki Sakamoto; Eiji Semmatsu; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2020)

Multi-fidelity Optimization Approach Under Prior and Posterior Constraints and Its Application to Compliance Minimization. - Youhei Akimoto; Naoki Sakamoto; Makoto Ohtani (PPSN (1), 2020)

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. - Youhei Akimoto; Nikolaus Hansen (Evol. Comput., 2020)

Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. - Youhei Akimoto; Anne Auger; Nikolaus Hansen (Theor. Comput. Sci., 2020)

Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. - Kento Uchida; Shinichi Shirakawa; Youhei Akimoto (IEEE Trans. Evol. Comput., 2020)

Warm Starting CMA-ES for Hyperparameter Optimization. - Masahiro Nomura; Shuhei Watanabe; Youhei Akimoto; Yoshihiko Ozaki; Masaki Onishi (AAAI, 2021)

AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. - Rei Sato; Jun Sakuma; Youhei Akimoto (AAAI, 2021)

Saddle point optimization with approximate minimization oracle. - Youhei Akimoto (GECCO, 2021)

Adaptive scenario subset selection for min-max black-box continuous optimization. - Atsuhiro Miyagi; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2021)

Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2021)

Level generation for angry birds with sequential VAE and latent variable evolution. - Takumi Tanabe; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2021)

Black-Box Min-Max Optimization using CMA-ES. - Youhei Akimoto (ITAT, 2021)

On Neural Network Identification for Low-Speed Ship Maneuvering Model. - Kouki Wakita; Atsuo Maki; Umeda Naoya; Yoshiki Miyauchi; Tohga Shimoji; Dimas M. Rachman; Youhei Akimoto (CoRR, 2021)

System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES. - Yoshiki Miyauchi; Atsuo Maki; Naoya Umeda; Dimas M. Rachman; Youhei Akimoto (CoRR, 2021)

Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. - Thien Q. Tran; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (AAAI, 2022)

Monotone improvement of information-geometric optimization algorithms with a surrogate function. - Youhei Akimoto (GECCO, 2022)

Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. - Atsuhiro Miyagi; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2022)

A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. - Ryoji Tanabe; Youhei Akimoto; Ken Kobayashi; Hiroshi Umeki; Shinichi Shirakawa; Naoki Hamada (GECCO, 2022)

On the effect of the sampling ratio of past trajectories in the combination of evolutionary algorithm and deep reinforcement learning. - Yasen Wang; Youhei Akimoto (GECCO Companion, 2022)

Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. - Syou Hirofumi; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IJCNN, 2022)

Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. - Rei Sato; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (IJCNN, 2022)

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. - Takumi Tanabe; Rei Sato; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (NeurIPS, 2022)

Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models. - Naoki Sakamoto; Rei Sato; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (IEEE Access, 2022)

Domain Generalization via Adversarially Learned Novel Domains. - Yu Zhe; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IEEE Access, 2022)

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (CoRR, 2022)

Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning. - Kouki Wakita; Youhei Akimoto; Dimas M. Rachman; Yoshiki Miyauchi; Umeda Naoya; Atsuo Maki (CoRR, 2022)

Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization. - Naoki Sakamoto; Youhei Akimoto (Evol. Comput., 2022)

Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. - Youhei Akimoto; Anne Auger; Tobias Glasmachers; Daiki Morinaga (SIAM J. Optim., 2022)

Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control. - Youhei Akimoto; Yoshiki Miyauchi; Atsuo Maki (ACM Trans. Evol. Learn. Optim., 2022)

Privformer: Privacy-preserving Transformer with MPC. - Yoshimasa Akimoto; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (EuroS&P, 2023)

Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. - Hinata Edo; Yoshiki Miyauchi; Atsuo Maki; Youhei Akimoto (GECCO, 2023)

CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? - Masahiro Nomura; Youhei Akimoto; Isao Ono (GECCO, 2023)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. - Kaiwen Xu; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IJCAI, 2023)

Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers. - Kouki Wakita; Yoshiki Miyauchi; Youhei Akimoto; Atsuo Maki (CoRR, 2023)

Verbosity Bias in Preference Labeling by Large Language Models. - Keita Saito; Akifumi Wachi; Koki Wataoka; Youhei Akimoto (CoRR, 2023)

Unauthorized AI cannot recognize me: Reversible adversarial example. - Jiayang Liu; Weiming Zhang 001; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (Pattern Recognit., 2023)

Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization. - Atsuhiro Miyagi; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (Appl. Soft Comput., 2023)

CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy. - Daiki Nishiyama; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IEICE Trans. Inf. Syst., 2023)

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks. - Atsuhiro Miyagi; Yoshiki Miyauchi; Atsuo Maki; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (ACM Trans. Evol. Learn. Optim., 2023)

ATNAS: Automatic Termination for Neural Architecture Search. - Kotaro Sakamoto; Hideaki Ishibashi; Rei Sato; Shinichi Shirakawa; Youhei Akimoto; Hideitsu Hino (Neural Networks, 2023)

Statistically Significant Pattern Mining With Ordinal Utility. - Thien Q. Tran; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IEEE Trans. Knowl. Data Eng., 2023)

Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. - Daiki Morinaga; Youhei Akimoto (GECCO, 2024)

Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO Companion, 2024)

Analysis of Search Space Design for Neural Architecture Search with Weight Sharing. - Youhei Akimoto; Shinichi Shirakawa (IJCNN, 2024)

Stepwise Alignment for Constrained Language Model Policy Optimization. - Akifumi Wachi; Thien Q. Tran; Rei Sato; Takumi Tanabe; Youhei Akimoto (NeurIPS, 2024)

Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search. - Daiki Morinaga; Youhei Akimoto (CoRR, 2024)

Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control. - Amane Sakanashi; Rin Suyama; Atsuo Maki; Youhei Akimoto (CoRR, 2024)

Conceptual Design on the Field of View of Celestial Navigation Systems for Maritime Autonomous Surface Ships. - Kouki Wakita; Fuyuki Hane; Takeshi Sekiguchi; Shigehito Shimizu; Shinji Mitani; Youhei Akimoto; Atsuo Maki (CoRR, 2024)

Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks. - Kouki Wakita; Youhei Akimoto; Atsuo Maki (CoRR, 2024)

Analysis of Surrogate-Assisted Information-Geometric Optimization Algorithms. - Youhei Akimoto (Algorithmica, 2024)

Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (IEEE Trans. Evol. Comput., 2024)

Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. - Mitsuhiro Fujikawa; Youhei Akimoto; Jun Sakuma; Kazuto Fukuchi (AISTATS, 2025)

Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables. - Youhei Akimoto; Xilin Gao; Ze Kai Ng; Daiki Morinaga (GECCO, 2025)

Feature selection based on cluster assumption in PU learning. - Motonobu Uchikoshi; Youhei Akimoto (GECCO, 2025)

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. - Ryoki Hamano; Kento Uchida; Shinichi Shirakawa; Daiki Morinaga; Youhei Akimoto (Evol. Comput., 2025)

CMA-ES with Learning Rate Adaptation. - Masahiro Nomura; Youhei Akimoto; Isao Ono (ACM Trans. Evol. Learn. Optim., 2025)

Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing. - Thien Q. Tran; Akifumi Wachi; Rei Sato; Takumi Tanabe; Youhei Akimoto (CoRR, 2025)

A Provable Approach for End-to-End Safe Reinforcement Learning. - Akifumi Wachi; Kohei Miyaguchi; Takumi Tanabe; Rei Sato; Youhei Akimoto (CoRR, 2025)