NeurIPS 2020

Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity

Meta Review

This paper proposes an approach for discrete latent variable models that uses sparsity in order to explicitly marginalize. The idea in this paper is simple, elegant, and a refreshing departure from the typical relaxation / reparameterization approaches to this problem. Please include the clarifications requested by the reviewers.