Reviews: Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting

This work propose the application of Kronecker factored online Laplace approximation for overcoming catastrophic forgetting of neural networks. My main criticism of this paper is its lack of novelty/originality. As mentioned in the paper, using online Laplace propagation for continual learning of neural networks has already been explored in elastic weight consolidation (EWC) with its variants. Also, using Kronecker factored approximation of the Hessian has already been studied by Botev et. Still, I think this work provides a useful contribution to the field by building up on the popular framework of applying Laplace projection with state-of-art Hessian approximations and might be worth accepting to the conference.