Learning to Warm-Start Bayesian Hyperparameter Optimization

Jungtaek Kim, Saehoon Kim, Seungjin Choi

Hyperparameter optimization aims to find the optimal hyperparameter configuration of a machine learning model, which provides the best performance on a validation dataset. Manual s…