1. When Gaussian Process Meets Big Data: A Review of Scalable GPs
2. Bayesian Learning for Neural Networks
3. Variational Inference: A Review for Statisticians
4. Pyro: Deep universal probabilistic programming;Bingham,2019
5. The k-tied normal distribution: A compact parameterization of gaussian mean field posteriors in bayesian neural networks;Swiatkowski