1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Batch Acquisition Function Evaluations and Decouple Optimizer Updates for Faster Bayesian Optimization
Kaichi Irie, Shuhei Watanabe, Masaki Onishi
Bayesian optimization (BO) efficiently finds high-performing parameters by maximizing an acquisition function, which models the promise of parameters. A major computational bottlen…
cs.LG2020★ 1 cited
Warm Starting CMA-ES for Hyperparameter Optimization
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto +2
Hyperparameter optimization (HPO), formulated as black-box optimization (BBO), is recognized as essential for automation and high performance of machine learning approaches. The CM…