The Promises and Pitfalls of Deep Kernel Learning

Sebastian W. Ober, Carl E. Rasmussen, Mark van der Wilk

Deep kernel learning (DKL) and related techniques aim to combine the representational power of neural networks with the reliable uncertainty estimates of Gaussian processes. One cr…