NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:855
Title:SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points

After extensive back and forth discussion by the reviewers, ultimately we felt that despite trivial solutions that are possible by mixing spider with negative curvature search, the approach of the present paper has its usefulness (as noted in the reviews too), and that the paper can be accepted. The authors are, however, strongly encouraged to look into the reviews carefully, and implement the points mentioned in the rebuttal -- because it would be a pity if after all the back-n-forth that this paper's review cycle has witnessed, if the authors did not update the paper to clarify its contribution, its value, and its contrasts with less implementable methods.