Review for NeurIPS paper: Consistent feature selection for analytic deep neural networks

Additional Feedback: Below please find my detailed comments: 1. This paper do not consider the feature selection under high dimensional setting. This paper consider an easier problem setting in which the total number of feature is fixed and does not scale with the number of data points. It is important to study a feature selection method under high dimensional setting, where the number of total feature may grows exponentially fast w.r.t. However, there are various previous actually already gives selection consistency result, for example [1,2,3]. And the selection consistency in [4, 5] can be easily obtained with several simple arguments built upon their analysis.