| 2026 | GECCO | Diversified Residual Symbolic Regression. | Koki Ikeda, Masahiro Nomura, Ryoki Hamano |
| 2026 | GECCO | Effect of Mirrored Orthogonal Sampling for CMA-ES on Multimodal Problems. | Kaito Nakatani, Masahiro Nomura, Isao Ono |
| 2026 | GECCO | Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shinichi Shirakawa |
| 2026 | GECCO | S3-LRA-xNES: Step-size and Shape Separated Learning Rate Adaptation for Exponential Natural Evolution Strategy. | Kosuke Ujihara, Masahiro Nomura, Isao Ono |
| 2026 | PPSN | On the Generalization Bounds of Symbolic Regression with Genetic Programming. | Masahiro Nomura, Ryoki Hamano, Isao Ono |
| 2025 | CEC | A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters. | Aoi Kato, Kenta Kojima, Masahiro Nomura, Isao Ono |
| 2025 | CEC | Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization. | Kota Nagakane, Masahiro Nomura, Isao Ono |
| 2025 | CVPR | Instance-wise Supervision-level Optimization in Active Learning. | Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura |
| 2025 | GECCO | CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. | Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa |
| 2024 | GECCO | CatCMA : Stochastic Optimization for Mixed-Category Problems. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa |
| 2024 | GECCO | Hot off the Press: Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. | Shion Takeno, Masahiro Nomura, Masayuki Karasuyama |
| 2024 | GECCO | CMA-ES for Safe Optimization. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa |
| 2024 | IJCAI | Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It. | Yuta Saito, Masahiro Nomura |
| 2024 | PPSN | Natural Gradient Interpretation of Rank-One Update in CMA-ES. | Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura |
| 2024 | PPSN | CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. | Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa |
| 2024 | RecSys | Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits. | Tatsuhiro Shimizu, Koichi Tanaka, Ren Kishimoto, Haruka Kiyohara, Masahiro Nomura, Yuta Saito |
| 2024 | WWW | Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. | Haruka Kiyohara, Masahiro Nomura, Yuta Saito |
| 2023 | GECCO | (1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. | Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2023 | GECCO | CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? | Masahiro Nomura, Youhei Akimoto, Isao Ono |
| 2023 | ICML | Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. | Shion Takeno, Masahiro Nomura, Masayuki Karasuyama |
| 2022 | CEC | Fast Moving Natural Evolution Strategy for High-Dimensional Problems. | Masahiro Nomura, Isao Ono |
| 2022 | GECCO | CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2022 | GECCO | Benchmarking CMA-ES with margin on the bbob-mixint testbed. | Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2022 | IJCAI | Towards Resolving Propensity Contradiction in Offline Recommender Learning. | Yuta Saito, Masahiro Nomura |
| 2021 | AAAI | Warm Starting CMA-ES for Hyperparameter Optimization. | Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi |
| 2021 | CEC | Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function Optimization. | Masahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono |
| 2021 | CIKM | Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. | Masahiro Nomura, Yuta Saito |
| 2020 | ICPR | Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning. | Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe |
| 2011 | DAC | A closed-form expression for estimating minimum operating voltage (V | Hiroshi Fuketa, Satoshi Iida, Tadashi Yasufuku, Makoto Takamiya, Masahiro Nomura, Hirofumi Shinohara, Takayasu Sakurai |
| 2011 | ISLPED | 12.7-times energy efficiency increase of 16-bit integer unit by power supply voltage (V | Hiroshi Fuketa, Koji Hirairi, Tadashi Yasufuku, Makoto Takamiya, Masahiro Nomura, Hirofumi Shinohara, Takayasu Sakurai |
| 2011 | ISLPED | Reduction of minimum operating voltage (V | Kentaro Honda, Katsuyuki Ikeuchi, Masahiro Nomura, Makoto Takamiya, Takayasu Sakurai |
| 2011 | ISLPED | Investigation of determinant factors of minimum operating voltage of logic gates in 65-nm CMOS. | Tadashi Yasufuku, Satoshi Iida, Hiroshi Fuketa, Koji Hirairi, Masahiro Nomura, Makoto Takamiya, Takayasu Sakurai |
| 2010 | ICCAD | Misleading energy and performance claims in sub/near threshold digital systems. | Yu Pu, Xin Zhang, Jim Huang, Atsushi Muramatsu, Masahiro Nomura, Koji Hirairi, Hidehiro Takata, Taro Sakurabayashi, Shinji Miyano, Makoto Takamiya, Takayasu Sakurai |