Reviewed International Conference Papers

Youhei Akimoto, Shinichi Shirakawa. Analysis of Search Space Design for Neural Architecture Search with Weight Sharing, 2024 International Joint Conference on Neural Networks (IJCNN), (2024, accepted)

Daiki Morinaga, Youhei Akimoto. Sign-Averaging Covariance Matrix Adaptation Evolution Strategy, GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, (2024, accepted)

Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma. Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), pages 519-526 (2023) [link] [preprint]

Yoshimasa Akimoto, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma. Privformer: Privacy-preserving Transformer with MPC, 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), pages 392-410 (2023) [doi]

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 '23: Proceedings of the Genetic and Evolutionary Computation Conference, pages 839-847 (2023) [doi]

Hinata Edo, Yoshiki Miyauchi, Atsuo Maki, Youhei Akimoto. Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization, GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1339-1347 (2023) [doi]

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, Advances in Neural Information Processing Systems 35 (NeurIPS 2022), (2022) [preprint] [repository]

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 '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1979-1983 (2022) [doi]

Hirofumi Syou, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma. Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery, 2022 International Joint Conference on Neural Networks (IJCNN), pages 1-8 (2022) [doi] [link]

Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma. CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy, 2022 International Joint Conference on Neural Networks (IJCNN), pages 1-8 (2022) [doi] [link] [preprint]

Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning, 2022 International Joint Conference on Neural Networks (IJCNN), pages 01-10 (2022) [doi] [link]

Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada. A Two-phase Framework with a Bezier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, pages 601-610 (2022) [doi] [link] [repository]

Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. Black-Box Min–Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, pages 823-831 (2022) [doi] [link] [repository]

Youhei Akimoto. Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1354-1362 (2022) [doi] [link]

Zhe Yu, Kazuto Fuchiku, Youhei Akimoto, Jun Sakuma. Domain Generalization via Adversarial Learned Novel Domains, 2022 IEEE International Conference on Multimedia and Expo (ICME), pages 1-6 (2022) [doi] [link]

Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma. Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation, Proceedings of the AAAI Conference on Artificial Intelligence, 36(9), pages 9614-9622 (2022) [doi] [link] [preprint]

Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference, pages 697-705 (2021) [doi]

Youhei Akimoto. Saddle Point Optimization with Approximate Minimization Oracle, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference, pages 493-501 (2021) [doi] [preprint] [repository]

Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1052-1060 (2021) [doi] [preprint]

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 Function, GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1169-1177 (2021) [doi] [preprint]

Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi. Warm Starting CMA-ES for Hyperparameter Optimization, Proceedings of the AAAI Conference on Artificial Intelligence, 35(10), pages 9188-9196 (2021) [doi] [link]

Rei Sato, Jun Sakuma, Youhei Akimoto. AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment, Proceedings of the AAAI Conference on Artificial Intelligence, 35(11), pages 9489-9496 (2021) [doi] [link] [repository]

Youhei Akimoto, Naoki Sakamoto and Makoto Ohtani. Multi-Fidelity Optimization Approach under Prior and Posterior Constraints and its Application to Compliance Minimization, Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. Lecture Notes in Computer Science, vol 12269, pages 81-94 (2020) [doi] [link] [repository]

Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma. Statistically Significant Pattern Mining with Ordinal Utility, KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pages 1645-1655 (2020) [doi] [link]

Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. Deep Generative Model for Non-convex Constraint Handling, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 636-644 (2020) [doi]

Hiromu Yakura, Youhei Akimoto, Jun Sakuma. Generate (non-software) Bugs to Fool Classifiers, Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020, pages 1070-1078 (2020) [doi] [link] [preprint] [repository]

Daiki Morinaga, Youhei Akimoto. 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, pages 13-24 (2019) [doi] [link]

Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto. Well Placement Optimization under Geological Statistical Uncertainty, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’19), July 13–17, 2019, Prague, Czech Republic, pages 1284-1292 (2019) [doi]

Naoki Sakamoto, Youhei Akimoto. Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’19), July 13–17, 2019, Prague, Czech Republic, pages 700-708 (2019) [doi]

Youhei Akimoto, Takuma Shimizu, Takahiro Yamaguchi. Adaptive Objective Selection for Multi-Fidelity Optimization, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’19), July 13–17, 2019, Prague, Czech Republic, pages 880-888 (2019) [doi] [repository]

Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida. Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, pages 171-180 (2019) [link] [repository]

Kento Uchida, Shinichi Shirakawa, Youhei Akimoto. Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution Under Finite Samples, Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, pages 897-904 (2018) [doi]

Kouhei Nishida, Youhei Akimoto. PSA-CMA-ES: CMA-ES with Population Size Adaptation, Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, pages 865-873 (2018) [doi]

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, Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, pages 801-808 (2018) [doi]

Shota Saito, Shinichi Shirakawa, Youhei Akimoto. Embedded Feature Selection Using Probabilistic Model-Based Optimization, Proceedings of GECCO ’18 Companion, Kyoto, Japan, July 15-19, 2018, pages 1922-1925 (2018) [doi]

Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto. Well Placement Optimization for Carbon dioxide Capture and Storage via CMA-ES with Mixed Integer Support, Proceedings of GECCO ’18 Companion, Kyoto, Japan, July 15-19, 2018, pages 1696-1703 (2018) [doi]

Kouhei Nishida, Youhei Akimoto. Benchmarking the PSA-CMA-ES on the BBOB Noiseless Testbed, Proceedings of GECCO ’18 Companion, Kyoto, Japan, July 15-19, 2018, pages 1529-1537 (2018) [doi]

Kyotaro Ohashi, Natsuki Fujiyoshi, Naoki Sakamoto, Youhei Akimoto. Model Parameter Adaptive Instance-Based Policy Optimization for Episodic Control Tasks of Nonholonomic Systems, Proceedings of GECCO ’18 Companion, Kyoto, Japan, July 15-19, 2018, pages 1426-1433 (2018) [doi]

Takahiro Yamaguchi, Youhei Akimoto. A Note on the CMA-ES for Functions with Periodic Variables, Proceedings of GECCO ’18 Companion, Kyoto, Japan, July 15-19, 2018, pages 227-228 (2018) [doi]

Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto. Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling, Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), pages 4074-4082 (2018) [doi] [link]

Hidekazu Miyazawa, Youhei Akimoto. Effect of the Mean Vector Learning Rate in CMA-ES, Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, July 15-19, 2017, pages 721-728 (2017) [doi]

Takahiro Yamaguchi, Youhei Akimoto. Benchmarking the Novel CMA-ES Restart Strategy Using the Search History on the BBOB Noiseless Testbed, Proceedings of GECCO ’17 Companion, Berlin, Germany, July 15-19, 2017, pages 1780-1787 (2017) [doi]

Keigo Tanaka, Youhei Akimoto. Introducing the Cumulation to the Population Based Incremental Learning and the Compact GA to Relax Genetic Drift, Proceedings of GECCO ’17 Companion, Berlin, Germany, July 15-19, 2017, pages 199-200 (2017) [doi]

Naoki Sakamoto, Youhei Akimoto. Modified Box Constraint Handling for the Covariance Matrix Adaptation Evolution Strategy, Proceedings of GECCO ’17 Companion, Berlin, Germany, July 15-19, 2017, pages 183-184 (2017) [doi]

Youhei Akimoto, Anne Auger, Nikolaus Hansen. Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions, Foundations of Genetic Algorithms, FOGA XIV, Copenhagen, Denmark, January 12-15, 2017, pages 111-126 (2017) [doi]

Youhei Akimoto, Nikolaus Hansen. Online Model Selection for Restricted Covariance Matrix Adaptation, Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings, pages 3-13 (2016) [doi] [repository]

Kouhei Nishida, Youhei Akimoto. Population Size Adaptation for the CMA-ES Based On the Estimation Accuracy of the Natural Gradient, Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, Colorado, USA, July 20-24, 2016, pages 237-244 (2016) [doi]

Youhei Akimoto, Nikolaus Hansen. Projection-Based Restricted Covariance Matrix Adaptation for High Dimension, Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, Colorado, USA, July 20-24, 2016, pages 197-204 (2016) [doi] [repository]

Kouhei Nishida, Youhei Akimoto. Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed, Workshop Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, Colorado, USA, July 20-24, 2016, pages 1193-1200 (2016) [doi]

Kouhei Nishida, Youhei Akimoto. Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed, Workshop Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, Colorado, USA, July 20-24, 2016, pages 1185-1192 (2016) [doi]

Tze-Wei Yeoh, Saúl Zapotecas Martı́nez, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka. Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM, Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part II, pages 566-578 (2015) [doi] [link]

Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara. Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling, Proceedings of Genetic and Evolutionary Computation Conference, pages 305-312 (2015) [doi]

Martin Drozdik, Hernan Aguirre, Youhei Akimoto, Kiyoshi Tanaka. Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution, Learning and Intelligent Optimization, 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers, pages 89-103 (2015) [doi]

TzeWei Yeoh, Saúl Zapotecas Martı́nez, Youhei Akimoto, Hernán E. Aguirre, Kiyoshi Tanaka. Genetic algorithm assisted by a SVM for feature selection in gait classification, Intelligent Signal Processing and Communication Systems (ISPACS), 2014 International Symposium on, pages 191-195 (2014) [doi] [link]

Youhei Akimoto, Shinichi Shirakawa. Natural Gradient Approach for Linearly Constrained Continuous Optimization, PPSN 2014: Parallel Problem Solving from Nature - PPSN XIII, pages 252-261 (2014) [doi]

Youhei Akimoto, Anne Auger, Nikolaus Hansen. Comparison-based Natural Gradient Optimization in High Dimension, GECCO '14: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, pages 373-380 (2014) [doi] [repository]

Saeed RamezanJamaat, Hernan Aguirre, Youhei Akimoto, Kiyoshi Tanaka. Smart EA operators for effective service restoration of compensated distribution networks, Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE, pages 743-748 (2014) [doi]

Makoto Takahashi, Youhei Akimoto, Hernan Aguirre, Kiyoshi Tanaka. A Subspace Extraction Strategy for Many-Objective Space Partitioning Optimization, Pre-proceedings of Learning and Intelligent Optimization Conference (LION8), id 40 (2014) [link]

Yutaka Nishio, Akira Oyama, Youhei Akimoto, Hernan Aguirre, Kiyoshi Tanaka. Many-objective Optimization of Trajectory Design for DESTINY Mission, Pre-proceedings of Learning and Intelligent Optimization Conference (LION8), id 41 (2014) [link]

MinZhi Chua, Youhei Akimoto, Hernan Aguirre, Kiyoshi Tanaka. Asian Female Face Classification Incorporating Personal Attractive Preference, Intelligent Signal Processing and Communication Systems (ISPACS), 2013 International Symposium on, pages 413-418 (2013) [doi]

Saeed RamezanJamaat, Youhei Akimoto, Hernan Aguirre, Kiyoshi Tanaka. Extended Pruning-Grafting Operators for Efficient Distribution Network Reconfiguration, Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on, pages 92-97 (2013) [doi]

Youhei Akimoto, Yann Ollivier. Objective improvement in information-geometric optimization, FOGA XII '13: Proceedings of the twelfth workshop on Foundations of genetic algorithms XII, pages 1-10 (2013) [doi]

Youhei Akimoto, Anne Auger, Nikolaus Hansen. Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C2-composite Functions, Problem Solving from Nature-PPSN XII, pages 42-51 (2012) [doi]

Youhei Akimoto. Analysis of a Natural Gradient Algorithm on Monotonic Convex-Quadratic-Composite Functions, GECCO '12: Genetic and Evolutionary Computation Conference, pages 1293-1300 (2012) [doi]

Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi. Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies, PPSN 2010: Parallel Problem Solving from Nature -- PPSN XI, pages 154-163 (2010) [doi]

Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi. Theoretical analysis of evolutionary computation on continuously differentiable functions, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 1401-1408 (2010) [doi] [link]

Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi. Adaptation of expansion rate for real-coded crossovers, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 739-746 (2009) [doi]

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 '08: Proceedings of the 10th Annual conference on Genetic and evolutionary computation, pages 479-486 (2008) [doi]