[1806.04326] Differentiable Compositional Kernel Learning for Gaussian Processes
Neural Kernel Networks: a differentiable framework for compositional kernel learning. Like the Automatic Statistician, but trainable with gradient-based optimization rather than discrete search. By
"Differentiable Compositional Kernel Learning for Gaussian Processes," Sun et al.
The camera-ready version of Neural Kernel Network (NKN):
If you've ever worried about how to choose the kernel function for Gaussian Processes. This is the paper for you. Let data take the call!
will present it
Differentiable Compositional Kernel Learning for Gaussian Processes. (arXiv:1806.04326v1 [cs.LG])