NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:5449
Title:Can SGD Learn Recurrent Neural Networks with Provable Generalization?

This paper provides theory that explains what functions can be learned using RNNs (beyond linear classifiers) and gives sample complexity bounds. All reviewers agree that this result is significant and therefore, I recommend acceptance.