Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning
Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning
It is desirable to combine the expressive power of deep learning with Gaussian Process (GP) in one expressive Bayesian learning model. Deep kernel learning showed success as a deep network used for feature extraction. Then, a GP was used as the function model. Recently, it was suggested that, albeit training …