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

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

The Fourteenth International Conference on Learning Representations (ICLR 2026)   2026.4

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

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

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025)   737 - 745   2025.7

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

Kota Nagakane, Masahiro Nomura, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2025)   1 - 9   2025.6

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

Aoi Kato, Kenta Kojima, Masahiro Nomura, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2025)   1 - 4   2025.6

Instance-wise Supervision-level Optimization in Active Learning Reviewed

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

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)   4939 - 4947   2025.6

CMA-ES with Learning Rate Adaptation Reviewed

Masahiro Nomura, Youhei Akimoto, Isao Ono

ACM Transactions on Evolutionary Learning and Optimization   5 ( 6 )   1 - 28   2025.3

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits Reviewed International coauthorship

18th ACM Conference on Recommender Systems   733 - 741   2024.10

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

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

International Conference on Parallel Problem Solving from Nature (PPSN 2024)   236 - 251   2024.9

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

Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura

International Conference on Parallel Problem Solving from Nature (PPSN 2024)   252 - 267   2024.9

Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It Reviewed International coauthorship

Yuta Saito, Masahiro Nomura

Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2024)   4860 - 4867   2024.8

CatCMA: Stochastic Optimization for Mixed-Category Problems Reviewed

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

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024)   656 - 664   2024.7

CMA-ES for Safe Optimization Reviewed

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

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024)   722 - 730   2024.7

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

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

ACM Transactions on Evolutionary Learning and Optimization   4 ( 10 )   1 - 26   2024.6

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction Reviewed International coauthorship

Haruka Kiyohara, Masahiro Nomura, Yuta Saito

Proceedings of the ACM on Web Conference (WebConf 2024)   3150 - 3161   2024.5

Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes Reviewed

Shion Takeno, Masahiro Nomura, Masayuki Karasuyama

Proceedings of the International Conference on Machine Learning (ICML 2023)   33516 - 33533   2023.7

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

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

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2023)   882 - 890   2023.7

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

Masahiro Nomura, Youhei Akimoto, Isao Ono

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2023)   839 - 847   2023.7

Towards Resolving Propensity Contradiction in Offline Recommender Learning Reviewed International coauthorship

Yuta Saito, Masahiro Nomura

Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2022)   2211 - 2217   2022.7

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

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2022)   639 - 647   2022.7

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

Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO Companion 2022)   1708 - 1716   2022.7

Fast Moving Natural Evolution Strategy for High-Dimensional Problems Reviewed

Masahiro Nomura, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2022)   1 - 8   2022.7

Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies Reviewed

Masahiro Nomura, Isao Ono

International Conference on the Applications of Evolutionary Computation (Part of EvoStar 2022)   721 - 737   2022.4

Multiobjective Tree-Structured Parzen Estimator Reviewed

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

Journal of Artificial Intelligence Research (JAIR)   73   1209 - 1250   2022.4

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

Masahiro Nomura, Isao Ono

IEEE Symposium Series on Computational Intelligence (SSCI 2021)   1 - 7   2022.1

Efficient Hyperparameter Optimization under Multi-Source Covariate Shift Reviewed

Masahiro Nomura, Yuta Saito

Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021)   1376 - 1385   2021.10

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

Masahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono

IEEE Congress on Evolutionary Computation (CEC 2021)   1099 - 1106   2021.8

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

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

International Conference on Pattern Recognition (ICPR 2020)   3372 - 3379   2021.5

Warm Starting CMA-ES for Hyperparameter Optimization Reviewed

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

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021)   9188 - 9196   2021.2

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 Reviewed

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   2020.9

Best Paper Nomination (GECCO ENUM Track)

2022.7   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

2021.6   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