2021
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML
NeurIPS 2021poster
Hyperparameter optimization (HPO) is a core problem for the machine learning community and remains largely unsolved due to the significant computational resources required to evaluate hyperparameter configurations. As a result, a series of recent related works have focused on the direction of transf…