2021
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling
AISTATS 2021poster
Many contemporary machine learning models require extensive tuning of hyperparameters to perform well. A variety of methods, such as Bayesian optimization, have been developed to automate and expedite this process. However, tuning remains extremely costly as it typically requires repeatedly fully tr…