Watanabe, Shuhei

7 publications

AutoML 2024 Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks Shuhei Watanabe, Neeratyoy Mallik, Edward Bergman, Frank Hutter

IJCAI 2023 C-TPE: Tree-Structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization Shuhei Watanabe, Frank Hutter

IJCAI 2023 PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces Shuhei Watanabe, Archit Bansal, Frank Hutter

IJCAI 2023 Speeding up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter

NeurIPSW 2022 Multi-Objective Tree-Structured Parzen Estimator Meets Meta-Learning Shuhei Watanabe, Noor Awad, Masaki Onishi, Frank Hutter

JAIR 2022 Multiobjective Tree-Structured Parzen Estimator Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi

AAAI 2021 Warm Starting CMA-ES for Hyperparameter Optimization Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi