Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching 査読

Ren Kishimoto, Rikiya Takehi, Koichi Tanaka, Masahiro Nomura, Riku Togashi, Yoji Tomita, Yuta Saito

The Fourteenth International Conference on Learning Representations (ICLR 2026)   2026年4月

CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables 査読

Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025)   737 - 745   2025年7月

Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization 査読

Kota Nagakane, Masahiro Nomura, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2025)   1 - 9   2025年6月

A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters 査読

Aoi Kato, Kenta Kojima, Masahiro Nomura, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2025)   1 - 4   2025年6月

Instance-wise Supervision-level Optimization in Active Learning 査読

Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)   4939 - 4947   2025年6月

CMA-ES with Learning Rate Adaptation 査読

Masahiro Nomura, Youhei Akimoto, Isao Ono

ACM Transactions on Evolutionary Learning (ACM TELO)   5 ( 6 )   1 - 28   2025年3月

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits 査読 国際共著

Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito

18th ACM Conference on Recommender Systems   733 - 741   2024年10月

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points 査読

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

International Conference on Parallel Problem Solving from Nature (PPSN 2024)   236 - 251   2024年9月

Natural Gradient Interpretation of Rank-One Update in CMA-ES 査読

Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura

International Conference on Parallel Problem Solving from Nature (PPSN 2024)   252 - 267   2024年9月

Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It 査読 国際共著

Yuta Saito, Masahiro Nomura

Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2024)   4860 - 4867   2024年8月

CatCMA: Stochastic Optimization for Mixed-Category Problems 査読

Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024)   656 - 664   2024年7月

CMA-ES for Safe Optimization 査読

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024)   722 - 730   2024年7月

Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization 査読

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

ACM Transactions on Evolutionary Learning and Optimization (ACM TELO)   4 ( 10 )   1 - 26   2024年6月

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction 査読 国際共著

Haruka Kiyohara, Masahiro Nomura, Yuta Saito

Proceedings of the ACM on Web Conference (WebConf 2024)   3150 - 3161   2024年5月

Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes 査読

Shion Takeno, Masahiro Nomura, Masayuki Karasuyama

Proceedings of the International Conference on Machine Learning (ICML 2023)   33516 - 33533   2023年7月

(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems 査読

Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2023)   882 - 890   2023年7月

CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? 査読

Masahiro Nomura, Youhei Akimoto, Isao Ono

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2023)   839 - 847   2023年7月

Towards Resolving Propensity Contradiction in Offline Recommender Learning 査読 国際共著

Yuta Saito, Masahiro Nomura

Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2022)   2211 - 2217   2022年7月

CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization 査読

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2022)   639 - 647   2022年7月

Benchmarking CMA-ES with Margin on the bbob-mixint Testbed 査読

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO Companion 2022)   1708 - 1716   2022年7月

Fast Moving Natural Evolution Strategy for High-Dimensional Problems 査読

Masahiro Nomura, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2022)   1 - 8   2022年7月

Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies 査読

Masahiro Nomura, Isao Ono

International Conference on the Applications of Evolutionary Computation (Part of EvoStar 2022)   721 - 737   2022年4月

Multiobjective Tree-Structured Parzen Estimator 査読

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi

Journal of Artificial Intelligence Research (JAIR)   73   1209 - 1250   2022年4月

Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure 査読

Masahiro Nomura, Isao Ono

IEEE Symposium Series on Computational Intelligence (SSCI 2021)   1 - 7   2022年1月

Efficient Hyperparameter Optimization under Multi-Source Covariate Shift 査読

Masahiro Nomura, Yuta Saito

Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021)   1376 - 1385   2021年10月

Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function Optimization 査読

Masahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2021)   1099 - 1106   2021年8月

Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning 査読

Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe

International Conference on Pattern Recognition (ICPR 2020)   3372 - 3379   2021年5月

Warm Starting CMA-ES for Hyperparameter Optimization 査読

Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021)   9188 - 9196   2021年2月

機械学習におけるハイパパラメータ最適化手法：概要と特徴 査読

尾崎嘉彦, 野村将寛, 大西正輝

電子情報通信学会論文誌D   J103-D ( 9 )   615 - 631   2020年9月

Best Paper Nomination (GECCO ENUM Track)

2022年7月   GECCO 2022   CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

論文賞

2021年6月   電子情報通信学会   機械学習におけるハイパパラメータ最適化手法：概要と特徴

尾崎嘉彦, 野村将寛, 大西正輝