Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes

Linfeng Liu, Liping Liu

Abstract: GP Inference on large datasets is computationally expensive, especially when the observation likelihood is non-Gaussian. To reduce the computation, many recent variational inference methods define ...