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Youhei Akimoto
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2020 – today
- 2024
- [j20]Youhei Akimoto:
Analysis of Surrogate-Assisted Information-Geometric Optimization Algorithms. Algorithmica 86(1): 33-63 (2024) - [j19]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): 501-515 (2024) - [c75]Daiki Morinaga
, Youhei Akimoto
:
Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. GECCO 2024 - [c74]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: 49-50 - [i40]Daiki Morinaga, Youhei Akimoto:
Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search. CoRR abs/2401.14014 (2024) - [i39]Masahiro Nomura, Youhei Akimoto, Isao Ono:
CMA-ES with Learning Rate Adaptation. CoRR abs/2401.15876 (2024) - 2023
- [j18]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: 109842 (2023) - [j17]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): 523-537 (2023) - [j16]Kotaro Sakamoto
, Hideaki Ishibashi
, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
:
ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks 166: 446-458 (2023) - [j15]Jiayang Liu, Weiming Zhang, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Unauthorized AI cannot recognize me: Reversible adversarial example. Pattern Recognit. 134: 109048 (2023) - [j14]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): 8:1-8:32 (2023) - [j13]Thien Q. Tran
, Kazuto Fukuchi
, Youhei Akimoto
, Jun Sakuma
:
Statistically Significant Pattern Mining With Ordinal Utility. IEEE Trans. Knowl. Data Eng. 35(9): 8770-8783 (2023) - [c73]Yoshimasa Akimoto, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Privformer: Privacy-preserving Transformer with MPC. EuroS&P 2023: 392-410 - [c72]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: 839-847 - [c71]Youhei Akimoto
, Nikolaus Hansen
:
CMA-ES and Advanced Adaptation Mechanisms. GECCO Companion 2023: 1157-1182 - [c70]Hinata Edo
, Yoshiki Miyauchi
, Atsuo Maki
, Youhei Akimoto
:
Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. GECCO 2023: 1339-1347 - [c69]Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. IJCAI 2023: 519-526 - [i38]Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. CoRR abs/2301.13343 (2023) - [i37]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 abs/2303.16079 (2023) - [i36]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 abs/2304.03473 (2023) - [i35]Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. CoRR abs/2305.18362 (2023) - [i34]Kouki Wakita, Yoshiki Miyauchi, Youhei Akimoto, Atsuo Maki:
Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers. CoRR abs/2305.18851 (2023) - [i33]Keita Saito, Akifumi Wachi, Koki Wataoka, Youhei Akimoto:
Verbosity Bias in Preference Labeling by Large Language Models. CoRR abs/2310.10076 (2023) - 2022
- [j12]Yu Zhe
, Kazuto Fukuchi
, Youhei Akimoto
, Jun Sakuma
:
Domain Generalization via Adversarially Learned Novel Domains. IEEE Access 10: 101855-101868 (2022) - [j11]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: 117501-117514 (2022) - [j10]Naoki Sakamoto, Youhei Akimoto:
Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization. Evol. Comput. 30(4): 503-529 (2022) - [j9]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): 1402-1429 (2022) - [j8]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): 2:1-2:32 (2022) - [c68]Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. AAAI 2022: 9614-9622 - [c67]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: 601-610 - [c66]Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. GECCO 2022: 823-831 - [c65]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO Companion 2022: 1243-1268 - [c64]Youhei Akimoto:
Monotone improvement of information-geometric optimization algorithms with a surrogate function. GECCO 2022: 1354-1362 - [c63]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: 1979-1983 - [c62]Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Domain Generalization Via Adversarially Learned Novel Domains. ICME 2022: 1-6 - [c61]Syou Hirofumi, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. IJCNN 2022: 1-8 - [c60]Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. IJCNN 2022: 1-8 - [c59]Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. IJCNN 2022: 1-10 - [c58]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 - [i32]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 abs/2203.15292 (2022) - [i31]Youhei Akimoto:
Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function. CoRR abs/2204.02638 (2022) - [i30]Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Black-Box Min-Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation. CoRR abs/2204.02646 (2022) - [i29]Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. CoRR abs/2209.10920 (2022) - [i28]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 abs/2209.12467 (2022) - [i27]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 abs/2211.03413 (2022) - [i26]Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization. CoRR abs/2211.16574 (2022) - [i25]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 abs/2212.06415 (2022) - 2021
- [c57]Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi:
Warm Starting CMA-ES for Hyperparameter Optimization. AAAI 2021: 9188-9196 - [c56]Rei Sato, Jun Sakuma, Youhei Akimoto:
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. AAAI 2021: 9489-9496 - [c55]Youhei Akimoto:
Saddle point optimization with approximate minimization oracle. GECCO 2021: 493-501 - [c54]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO Companion 2021: 636-663 - [c53]Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Adaptive scenario subset selection for min-max black-box continuous optimization. GECCO 2021: 697-705 - [c52]Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Level generation for angry birds with sequential VAE and latent variable evolution. GECCO 2021: 1052-1060 - [c51]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: 1169-1177 - [c50]Youhei Akimoto:
Black-Box Min-Max Optimization using CMA-ES. ITAT 2021: 18 - [i24]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 abs/2103.01578 (2021) - [i23]Youhei Akimoto:
Saddle Point Optimization with Approximate Minimization Oracle. CoRR abs/2103.15985 (2021) - [i22]Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution. CoRR abs/2104.06106 (2021) - [i21]Youhei Akimoto, Yoshiki Miyauchi
, Atsuo Maki:
Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control. CoRR abs/2105.11586 (2021) - [i20]Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation. CoRR abs/2109.04518 (2021) - [i19]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 abs/2111.06120 (2021) - [i18]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 abs/2111.06124 (2021) - 2020
- [j7]Youhei Akimoto
, Nikolaus Hansen:
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. 28(3): 405-435 (2020) - [j6]Youhei Akimoto
, Anne Auger, Nikolaus Hansen
:
Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. Theor. Comput. Sci. 832: 42-67 (2020) - [j5]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): 1035-1049 (2020) - [c49]Hiromu Yakura, Youhei Akimoto, Jun Sakuma:
Generate (Non-Software) Bugs to Fool Classifiers. AAAI 2020: 1070-1078 - [c48]Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Deep generative model for non-convex constraint handling. GECCO 2020: 636-644 - [c47]Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Statistically Significant Pattern Mining with Ordinal Utility. KDD 2020: 1645-1655 - [c46]Youhei Akimoto, Naoki Sakamoto, Makoto Ohtani:
Multi-fidelity Optimization Approach Under Prior and Posterior Constraints and Its Application to Compliance Minimization. PPSN (1) 2020: 81-94 - [i17]Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Statistically Significant Pattern Mining with Ordinal Utility. CoRR abs/2008.10747 (2020) - [i16]Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga:
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions. CoRR abs/2009.08647 (2020) - [i15]Rei Sato, Jun Sakuma, Youhei Akimoto:
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. CoRR abs/2012.06138 (2020) - [i14]Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi:
Warm Starting CMA-ES for Hyperparameter Optimization. CoRR abs/2012.06932 (2020)
2010 – 2019
- 2019
- [c45]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: 13-24 - [c44]Naoki Sakamoto
, Youhei Akimoto:
Adaptive ranking based constraint handling for explicitly constrained black-box optimization. GECCO 2019: 700-708 - [c43]Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) 2019: 837-861 - [c42]Youhei Akimoto, Takuma Shimizu, Takahiro Yamaguchi:
Adaptive objective selection for multi-fidelity optimization. GECCO 2019: 880-888 - [c41]Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto:
Well placement optimization under geological statistical uncertainty. GECCO 2019: 1284-1292 - [c40]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: 171-180 - [i13]Youhei Akimoto, Nikolaus Hansen:
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. CoRR abs/1905.05885 (2019) - [i12]Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida:
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. CoRR abs/1905.08537 (2019) - [i11]Hiromu Yakura, Youhei Akimoto, Jun Sakuma:
Generate (non-software) Bugs to Fool Classifiers. CoRR abs/1911.08644 (2019) - 2018
- [c39]Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto:
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. AAAI 2018: 4074-4082 - [c38]Takahiro Yamaguchi, Youhei Akimoto:
A note on the CMA-ES for functions with periodic variables. GECCO (Companion) 2018: 227-228 - [c37]Youhei Akimoto, Nikolaus Hansen
:
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) 2018: 720-744 - [c36]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: 801-808 - [c35]Kouhei Nishida, Youhei Akimoto:
PSA-CMA-ES: CMA-ES with population size adaptation. GECCO 2018: 865-872 - [c34]Kento Uchida
, Shinichi Shirakawa, Youhei Akimoto:
Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. GECCO 2018: 897-904 - [c33]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: 1426-1433 - [c32]Kouhei Nishida, Youhei Akimoto:
Benchmarking the PSA-CMA-ES on the BBOB noiseless testbed. GECCO (Companion) 2018: 1529-1536 - [c31]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: 1696-1703 - [c30]Shota Saito
, Shinichi Shirakawa, Youhei Akimoto:
Embedded feature selection using probabilistic model-based optimization. GECCO (Companion) 2018: 1922-1925 - [i10]Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto:
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. CoRR abs/1801.07650 (2018) - [i9]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 abs/1802.03209 (2018) - [i8]Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara:
Sample Reuse via Importance Sampling in Information Geometric Optimization. CoRR abs/1805.12388 (2018) - [i7]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 abs/1809.06517 (2018) - [i6]Naoki Sakamoto, Youhei Akimoto:
Ranking Based Linear Constraint Handling Method with Adaptive Penalty. CoRR abs/1811.00764 (2018) - 2017
- [j4]Osamu Takyu, Shohei Fujii, Youhei Akimoto
, Mai Ohta, Takeo Fujii, Fumihito Sasamori, Shiro Handa:
Optimal cluster head selection and rotation of cognitive wireless sensor networks for simultaneous data gathering and long life system. Int. J. Distributed Sens. Networks 13(12) (2017) - [c29]Youhei Akimoto, Anne Auger, Nikolaus Hansen
:
Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. FOGA 2017: 111-126 - [c28]Naoki Sakamoto
, Youhei Akimoto:
Modified box constraint handling for the covariance matrix adaptation evolution strategy. GECCO (Companion) 2017: 183-184 - [c27]Keigo Tanaka, Youhei Akimoto:
Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift. GECCO (Companion) 2017: 199-200 - [c26]Youhei Akimoto, Nikolaus Hansen
:
CMA-ES and advanced adaptation mechanisms. GECCO (Companion) 2017: 641-674 - [c25]Hidekazu Miyazawa, Youhei Akimoto:
Effect of the mean vector learning rate in CMA-ES. GECCO 2017: 721-728 - [c24]Takahiro Yamaguchi, Youhei Akimoto:
Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed. GECCO (Companion) 2017: 1780-1787 - [i5]Youhei Akimoto:
Fast Eigen Decomposition for Low-Rank Matrix Approximation. CoRR abs/1706.02069 (2017) - 2016
- [c23]Youhei Akimoto, Nikolaus Hansen
:
Projection-Based Restricted Covariance Matrix Adaptation for High Dimension. GECCO 2016: 197-204 - [c22]Kouhei Nishida, Youhei Akimoto:
Population Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the Natural Gradient. GECCO 2016: 237-244 - [c21]Youhei Akimoto, Anne Auger, Nikolaus Hansen
:
Introduction to Randomized Continuous Optimization. GECCO (Companion) 2016: 333-355 - [c20]Youhei Akimoto, Anne Auger, Nikolaus Hansen
:
CMA-ES and Advanced Adaptation Mechanisms. GECCO (Companion) 2016: 533-562 - [c19]Kouhei Nishida, Youhei Akimoto:
Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed. GECCO (Companion) 2016: 1185-1192 - [c18]Kouhei Nishida, Youhei Akimoto:
Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed. GECCO (Companion) 2016: 1193-1200 - [c17]Youhei Akimoto, Nikolaus Hansen
:
Online Model Selection for Restricted Covariance Matrix Adaptation. PPSN 2016: 3-13 - 2015
- [j3]Youhei Akimoto
, Sandra Astete Morales, Olivier Teytaud:
Analysis of runtime of optimization algorithms for noisy functions over discrete codomains. Theor. Comput. Sci. 605: 42-50 (2015) - [j2]Martin Drozdik, Youhei Akimoto
, Hernán E. Aguirre, Kiyoshi Tanaka:
Computational Cost Reduction of Nondominated Sorting Using the M-Front. IEEE Trans. Evol. Comput. 19(5): 659-678 (2015) - [c16]Tze-Wei Yeoh, Saúl Zapotecas Martínez
, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka:
Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM. CAIP (2) 2015: 566-578 - [c15]Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara:
Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. GECCO 2015: 305-312 - [c14]Youhei Akimoto, Anne Auger, Nikolaus Hansen
:
Continuous Optimization and CMA-ES. GECCO (Companion) 2015: 313-344 - [c13]Youhei Akimoto, Anne Auger:
Theory of Evolution Strategies and Related Algorithms. GECCO (Companion) 2015: 575-588 - [c12]Martin Drozdik, Hernán E. Aguirre, Youhei Akimoto, Kiyoshi Tanaka:
Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution. LION 2015: 89-103 - 2014
- [c11]Youhei Akimoto, Anne Auger, Nikolaus Hansen
:
Comparison-based natural gradient optimization in high dimension. GECCO 2014: 373-380 - [c10]TzeWei Yeoh, Saúl Zapotecas Martínez
, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka:
Genetic algorithm assisted by a SVM for feature selection in gait classification. ISPACS 2014: 191-195 - [c9]Youhei Akimoto, Shinichi Shirakawa:
Natural Gradient Approach for Linearly Constrained Continuous Optimization. PPSN 2014: 252-261 - 2013
- [c8]Youhei Akimoto, Yann Ollivier:
Objective improvement in information-geometric optimization. FOGA 2013: 1-10 - [c7]MinZhi Chua, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka:
Asian female face classification incorporating personal attractive preference. ISPACS 2013: 413-418 - 2012
- [j1]Youhei Akimoto
, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica 64(4): 698-716 (2012) - [c6]Youhei Akimoto:
Analysis of a natural gradient algorithm on monotonic convex-quadratic-composite functions. GECCO 2012: 1293-1300 - [c5]Youhei Akimoto, Anne Auger, Nikolaus Hansen
:
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions. PPSN (1) 2012: 42-51 - [i4]Youhei Akimoto:
Analysis of a Natural Gradient Algorithm on Monotonic Convex-Quadratic-Composite Functions. CoRR abs/1204.4141 (2012) - [i3]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical foundation for CMA-ES from information geometric perspective. CoRR abs/1206.0730 (2012) - [i2]Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions. CoRR abs/1206.4968 (2012) - [i1]Youhei Akimoto, Yann Ollivier:
Objective Improvement in Information-Geometric Optimization. CoRR abs/1211.3831 (2012) - 2010
- [c4]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO 2010: 1401-1408 - [c3]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) 2010: 154-163
2000 – 2009
- 2009
- [c2]Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Adaptation of expansion rate for real-coded crossovers. GECCO 2009: 739-746 - 2008
- [c1]Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
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 2008: 479-486
Coauthor Index
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Unpaywalled article links
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:17 CEST by the dblp team
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