Review for NeurIPS paper: Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels

Additional Feedback: I enjoyed reading this paper. Is using deep kernel learning a contribution of the paper? I believe the proposed method is applicable for any Gaussian process-style models. Where deep kernels help is to work with high-dimensional inputs such as images. Vanilla Gaussian processes (GP) are more suitable for a few data points due to the cubic computational complexity whereas deep networks are more suitable for big-data settings.