Youhei Akimoto

Orcid: 0000-0003-2760-8123

According to our database1, Youhei Akimoto authored at least 103 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions.
IEEE Trans. Evol. Comput., April, 2024

Analysis of Surrogate-Assisted Information-Geometric Optimization Algorithms.
Algorithmica, January, 2024

Conceptual Design on the Field of View of Celestial Navigation Systems for Maritime Autonomous Surface Ships.
CoRR, 2024

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm.
CoRR, 2024

Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control.
CoRR, 2024

CMA-ES with Learning Rate Adaptation.
CoRR, 2024

Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search.
CoRR, 2024

Analysis of Search Space Design for Neural Architecture Search with Weight Sharing.
Proceedings of the International Joint Conference on Neural Networks, 2024

Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Sign-Averaging Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Statistically Significant Pattern Mining With Ordinal Utility.
IEEE Trans. Knowl. Data Eng., September, 2023

ATNAS: Automatic Termination for Neural Architecture Search.
Neural Networks, September, 2023

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., June, 2023

CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy.
IEICE Trans. Inf. Syst., April, 2023

Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization.
Appl. Soft Comput., January, 2023

Unauthorized AI cannot recognize me: Reversible adversarial example.
Pattern Recognit., 2023

Verbosity Bias in Preference Labeling by Large Language Models.
CoRR, 2023

Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers.
CoRR, 2023

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Privformer: Privacy-preserving Transformer with MPC.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022
Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control.
ACM Trans. Evol. Learn. Optim., 2022

Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions.
SIAM J. Optim., 2022

Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization.
Evol. Comput., 2022

Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning.
CoRR, 2022

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations.
CoRR, 2022

Domain Generalization via Adversarially Learned Novel Domains.
IEEE Access, 2022

Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models.
IEEE Access, 2022

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2022

On the effect of the sampling ratio of past trajectories in the combination of evolutionary algorithm and deep reinforcement learning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Monotone improvement of information-geometric optimization algorithms with a surrogate function.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES.
CoRR, 2021

On Neural Network Identification for Low-Speed Ship Maneuvering Model.
CoRR, 2021

Black-Box Min-Max Optimization using CMA-ES.
Proceedings of the 21st Conference Information Technologies, 2021

Level generation for angry birds with sequential VAE and latent variable evolution.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Adaptive scenario subset selection for min-max black-box continuous optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Saddle point optimization with approximate minimization oracle.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Warm Starting CMA-ES for Hyperparameter Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions.
IEEE Trans. Evol. Comput., 2020

Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions.
Theor. Comput. Sci., 2020

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies.
Evol. Comput., 2020

Multi-fidelity Optimization Approach Under Prior and Posterior Constraints and Its Application to Compliance Minimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Deep generative model for non-convex constraint handling.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Generate (Non-Software) Bugs to Fool Classifiers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search.
Proceedings of the 36th International Conference on Machine Learning, 2019

Well placement optimization under geological statistical uncertainty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Adaptive objective selection for multi-fidelity optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

2018
Ranking Based Linear Constraint Handling Method with Adaptive Penalty.
CoRR, 2018

Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network.
CoRR, 2018

Sample Reuse via Importance Sampling in Information Geometric Optimization.
CoRR, 2018

A note on the CMA-ES for functions with periodic variables.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Analysis of information geometric optimization with isotropic gaussian distribution under finite samples.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Embedded feature selection using probabilistic model-based optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Benchmarking the PSA-CMA-ES on the BBOB noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

PSA-CMA-ES: CMA-ES with population size adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer support.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Optimal cluster head selection and rotation of cognitive wireless sensor networks for simultaneous data gathering and long life system.
Int. J. Distributed Sens. Networks, 2017

Fast Eigen Decomposition for Low-Rank Matrix Approximation.
CoRR, 2017

Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Modified box constraint handling for the covariance matrix adaptation evolution strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Effect of the mean vector learning rate in CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

CMA-ES and advanced adaptation mechanisms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Online Model Selection for Restricted Covariance Matrix Adaptation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Population Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the Natural Gradient.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Projection-Based Restricted Covariance Matrix Adaptation for High Dimension.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

CMA-ES and Advanced Adaptation Mechanisms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Introduction to Randomized Continuous Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Computational Cost Reduction of Nondominated Sorting Using the M-Front.
IEEE Trans. Evol. Comput., 2015

Analysis of runtime of optimization algorithms for noisy functions over discrete codomains.
Theor. Comput. Sci., 2015

Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Continuous Optimization and CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Theory of Evolution Strategies and Related Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
Natural Gradient Approach for Linearly Constrained Continuous Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Genetic algorithm assisted by a SVM for feature selection in gait classification.
Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2014

Comparison-based natural gradient optimization in high dimension.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Asian female face classification incorporating personal attractive preference.
Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2013

Objective improvement in information-geometric optimization.
Proceedings of the Foundations of Genetic Algorithms XII, 2013

2012
Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions
CoRR, 2012

Theoretical foundation for CMA-ES from information geometric perspective
CoRR, 2012

Theoretical Foundation for CMA-ES from Information Geometry Perspective.
Algorithmica, 2012

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Analysis of a natural gradient algorithm on monotonic convex-quadratic-composite functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2010
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2010

Theoretical analysis of evolutionary computation on continuously differentiable functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Adaptation of expansion rate for real-coded crossovers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008


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