Review for NeurIPS paper: Projected Stein Variational Gradient Descent

Leveraging low-dimensional structure in approximate inference algorithms is an interesting area of study, and this adaptation of SVGD is a promising approach. There were concerns about lack of clarity and presentation of the algorithm, as well as theoretical justification and motivation of this procedure.