Hyperparameter optimization (HPO) is a powerful technique for automating...
The field of automated machine learning (AutoML) introduces techniques t...
The performance of an algorithm often critically depends on its paramete...
To achieve peak predictive performance, hyperparameter optimization (HPO...
Modern machine learning algorithms crucially rely on several design deci...
In this short note, we describe our submission to the NeurIPS 2020 BBO
c...
Neural architecture search (NAS) methods rely on a search strategy for
d...
Current Deep Reinforcement Learning algorithms still heavily rely on
han...