Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients

Yu Chen, Tom Diethe, Neil Lawrence

Continual learning aims to enable machine learning models to learn a general solution space for past and future tasks in a sequential manner. Conventional models tend to forget the…