  Hyperparameter optimization has remained a central topic within the machine
learning community due to its ability to produce state-of-the-art results. With
the recent interest growing in the usage of CNNs for time series prediction, we
propose the notion of optimizing Hyperparameters in CNNs for the purpose of
time series prediction. In this position paper, we give away the idea of
modeling the concerned hyperparameter optimization problem using bilevel
programming.
