Scalable Inference for Gaussian Process Models with Black-Box Likelihoods Amir Dezfouli

Experiments on small datasets for various problems including regression, classification, Log Gaussian Cox processes, and warped GPs show that our method can perform as well as the full method under high sparsity levels.