Deep Learning, Gaussian Process, Active Learning, Bayesian Optimization.
(DNN) and GP, as shown in Figure 3. Here, the DNN part serves as a feature extractor that allows reducing the complex high-dimensional features to low-dimensional descriptors on which a standard GP kernel operates. The parameters of DNN and of GP kernel are optimized jointly by performing a