The fields of both Natural Language Processing (NLP) and Automated Machi...
Recent years have witnessed tremendously improved efficiency of Automate...
Because of its sample efficiency, Bayesian optimization (BO) has become ...
Algorithm parameters, in particular hyperparameters of machine learning
...
Most machine learning algorithms are configured by one or several
hyperp...
Neural architecture search (NAS) and hyperparameter optimization (HPO) m...
In this short note, we describe our submission to the NeurIPS 2020 BBO
c...