| 2026 | AAAI | Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment. | Shigeki Kusaka, Keita Saito, Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto |
| 2026 | GECCO | Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation. | Marc Ong, Youhei Akimoto |
| 2026 | PPSN | Equilibrium Analysis of a Variable Metric Evolution Strategy. | Stephan Frank, Youhei Akimoto |
| 2026 | PPSN | Beyond IGO-Flow: Toward Convergence Analysis of IGO in Continuous Spaces. | Ryosuke Kimura, Youhei Akimoto |
| 2025 | AISTATS | Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. | Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi |
| 2025 | GECCO | Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables. | Youhei Akimoto, Xilin Gao, Ze Kai Ng, Daiki Morinaga |
| 2025 | GECCO | CMA-ES with Individual Adaptive Reevaluation for Black-Box Value-At-Risk Optimization. | Ze Kai Ng, Daiki Morinaga, Youhei Akimoto |
| 2025 | GECCO | Feature selection based on cluster assumption in PU learning. | Motonobu Uchikoshi, Youhei Akimoto |
| 2024 | GECCO | Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. | Daiki Morinaga, Youhei Akimoto |
| 2024 | GECCO | 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 |
| 2024 | IJCNN | Analysis of Search Space Design for Neural Architecture Search with Weight Sharing. | Youhei Akimoto, Shinichi Shirakawa |
| 2023 | GECCO | CMA-ES and Advanced Adaptation Mechanisms. | Youhei Akimoto, Nikolaus Hansen |
| 2023 | GECCO | Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. | Hinata Edo, Yoshiki Miyauchi, Atsuo Maki, Youhei Akimoto |
| 2023 | GECCO | CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? | Masahiro Nomura, Youhei Akimoto, Isao Ono |
| 2023 | IJCAI | Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. | Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2022 | AAAI | Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. | Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2022 | GECCO | Monotone improvement of information-geometric optimization algorithms with a surrogate function. | Youhei Akimoto |
| 2022 | GECCO | CMA-ES and advanced adaptation mechanisms. | Youhei Akimoto, Nikolaus Hansen |
| 2022 | GECCO | Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. | Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2022 | GECCO | A two-phase framework with a bzier simplex-based interpolation method for computationally expensive multi-objective optimization. | Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada |
| 2022 | GECCO | On the effect of the sampling ratio of past trajectories in the combination of evolutionary algorithm and deep reinforcement learning. | Yasen Wang, Youhei Akimoto |
| 2022 | IJCNN | 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 |
| 2022 | IJCNN | CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. | Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2022 | IJCNN | Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. | Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | AAAI | Warm Starting CMA-ES for Hyperparameter Optimization. | Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi |
| 2021 | AAAI | AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. | Rei Sato, Jun Sakuma, Youhei Akimoto |
| 2021 | GECCO | Saddle point optimization with approximate minimization oracle. | Youhei Akimoto |
| 2021 | GECCO | CMA-ES and advanced adaptation mechanisms. | Youhei Akimoto, Nikolaus Hansen |
| 2021 | GECCO | Adaptive scenario subset selection for min-max black-box continuous optimization. | Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | GECCO | 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 |
| 2021 | GECCO | Level generation for angry birds with sequential VAE and latent variable evolution. | Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2020 | AAAI | Generate (Non-Software) Bugs to Fool Classifiers. | Hiromu Yakura, Youhei Akimoto, Jun Sakuma |
| 2020 | GECCO | Deep generative model for non-convex constraint handling. | Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2020 | KDD | Statistically Significant Pattern Mining with Ordinal Utility. | Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2020 | PPSN | Multi-fidelity Optimization Approach Under Prior and Posterior Constraints and Its Application to Compliance Minimization. | Youhei Akimoto, Naoki Sakamoto, Makoto Ohtani |
| 2019 | FOGA | Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients. | Daiki Morinaga, Youhei Akimoto |
| 2019 | GECCO | CMA-ES and advanced adaptation mechanisms. | Youhei Akimoto, Nikolaus Hansen |
| 2019 | GECCO | Adaptive objective selection for multi-fidelity optimization. | Youhei Akimoto, Takuma Shimizu, Takahiro Yamaguchi |
| 2019 | GECCO | Well placement optimization under geological statistical uncertainty. | Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto |
| 2019 | GECCO | Adaptive ranking based constraint handling for explicitly constrained black-box optimization. | Naoki Sakamoto, Youhei Akimoto |
| 2019 | ICML | Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. | Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida |
| 2018 | AAAI | Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. | Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto |
| 2018 | GECCO | 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 |
| 2018 | GECCO | CMA-ES and advanced adaptation mechanisms. | Youhei Akimoto, Nikolaus Hansen |
| 2018 | GECCO | Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support. | Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto |
| 2018 | GECCO | PSA-CMA-ES: CMA-ES with population size adaptation. | Kouhei Nishida, Youhei Akimoto |
| 2018 | GECCO | Benchmarking the PSA-CMA-ES on the BBOB noiseless testbed. | Kouhei Nishida, Youhei Akimoto |
| 2018 | GECCO | Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systems. | Kyotaro Ohashi, Natsuki Fujiyoshi, Naoki Sakamoto, Youhei Akimoto |
| 2018 | GECCO | Embedded feature selection using probabilistic model-based optimization. | Shota Saito, Shinichi Shirakawa, Youhei Akimoto |
| 2018 | GECCO | Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. | Kento Uchida, Shinichi Shirakawa, Youhei Akimoto |
| 2018 | GECCO | A note on the CMA-ES for functions with periodic variables. | Takahiro Yamaguchi, Youhei Akimoto |
| 2017 | FOGA | Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. | Youhei Akimoto, Anne Auger, Nikolaus Hansen |
| 2017 | GECCO | CMA-ES and advanced adaptation mechanisms. | Youhei Akimoto, Nikolaus Hansen |
| 2017 | GECCO | Effect of the mean vector learning rate in CMA-ES. | Hidekazu Miyazawa, Youhei Akimoto |
| 2017 | GECCO | Modified box constraint handling for the covariance matrix adaptation evolution strategy. | Naoki Sakamoto, Youhei Akimoto |
| 2017 | GECCO | Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift. | Keigo Tanaka, Youhei Akimoto |
| 2017 | GECCO | Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed. | Takahiro Yamaguchi, Youhei Akimoto |
| 2016 | GECCO | Introduction to Randomized Continuous Optimization. | Youhei Akimoto, Anne Auger, Nikolaus Hansen |
| 2016 | GECCO | CMA-ES and Advanced Adaptation Mechanisms. | Youhei Akimoto, Anne Auger, Nikolaus Hansen |
| 2016 | GECCO | Projection-Based Restricted Covariance Matrix Adaptation for High Dimension. | Youhei Akimoto, Nikolaus Hansen |
| 2016 | GECCO | Population Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the Natural Gradient. | Kouhei Nishida, Youhei Akimoto |
| 2016 | GECCO | Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed. | Kouhei Nishida, Youhei Akimoto |
| 2016 | GECCO | Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed. | Kouhei Nishida, Youhei Akimoto |
| 2016 | PPSN | Online Model Selection for Restricted Covariance Matrix Adaptation. | Youhei Akimoto, Nikolaus Hansen |
| 2015 | CAIP | Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM. | Tze-Wei Yeoh, Sal Zapotecas Martnez, Youhei Akimoto, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2015 | GECCO | Theory of Evolution Strategies and Related Algorithms. | Youhei Akimoto, Anne Auger |
| 2015 | GECCO | Continuous Optimization and CMA-ES. | Youhei Akimoto, Anne Auger, Nikolaus Hansen |
| 2015 | GECCO | Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. | Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara |
| 2014 | GECCO | Comparison-based natural gradient optimization in high dimension. | Youhei Akimoto, Anne Auger, Nikolaus Hansen |
| 2014 | PPSN | Natural Gradient Approach for Linearly Constrained Continuous Optimization. | Youhei Akimoto, Shinichi Shirakawa |
| 2013 | FOGA | Objective improvement in information-geometric optimization. | Youhei Akimoto, Yann Ollivier |
| 2012 | GECCO | Analysis of a natural gradient algorithm on monotonic convex-quadratic-composite functions. | Youhei Akimoto |
| 2012 | PPSN | Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions. | Youhei Akimoto, Anne Auger, Nikolaus Hansen |
| 2010 | GECCO | Theoretical analysis of evolutionary computation on continuously differentiable functions. | Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi |
| 2010 | PPSN | Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. | Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi |
| 2009 | GECCO | Adaptation of expansion rate for real-coded crossovers. | Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi |
| 2008 | GECCO | 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 |