NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:856
Title:Efficient Meta Learning via Minibatch Proximal Update

All three reviewers agree that the paper is novel, well presented and shows convincing empirical results. The extensive theoretical analysis of the convergence of their algorithm makes the paper particularly interesting and different from prior related art. I agree with Reviewer 3, and encourage the authors to add a high level explanation of the difference between MMP and MAML, similar to the one provided in the author's response.