Efficient Deep Gaussian Process Models for Variable-Sized Input

Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic +1

Deep Gaussian processes (DGP) have appealing Bayesian properties, can handle variable-sized data, and learn deep features. Their limitation is that they do not scale well with the…