NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:6220
Title:Structured Graph Learning Via Laplacian Spectral Constraints

The submission proposes a new approach to structured graph learning related to Gaussian graphical modelling and eigenvalue problems. The reviewers were unanimous in their opinion that the paper should be accepted at NeurIPS, and were appreciative of the interesting and broadly applicable method, the theoretical foundations contained within the supplementary material, and the accompanying code release.