Bayesian Optimization Meets Bayesian Optimal Stopping

Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet

Abstract: Bayesian optimization (BO) is a popular paradigm for optimizing the hyperparameters of machine learning (ML) models due to its sample efficiency. Many ML models require running an iterative trainin...