Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes

Linfeng Liu, Liping Liu

Inference for GP models with non-Gaussian noises is computationally expensive when dealing with large datasets. Many recent inference methods approximate the posterior distribution…