Andrew Foong

On the Expressiveness of Approximate Inference in Bayesian Neural Networks

While Bayesian neural networks (BNNs) hold the promise of being flexible, well-calibrated statistical models, inference often requires approximations whose consequences are poorly understood. We study the quality of common variational methods in approximating the Bayesian predictive distribution. Fo…