2018
Accelerating Neural Architecture Search using Performance Prediction
ICLR 2018workshop
Methods for neural network hyperparameter optimization and meta-modeling are computationally expensive due to the need to train a large number of model configurations. In this paper, we show that standard frequentist regression models can predict the final performance of partially trained model conf…