Review for NeurIPS paper: Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Weaknesses: It is not clear what are the main technical contributions of the paper. The paper oversells it theoretical results and the motivation for the proposed regularizer is weak. The paper misrepresents its contributions in terms of cosmetic theorems and lemma. See the points (i) - (iv) below. In the Appendix Line 70, it is written that After extending it to the case when Y is a deterministic function of X, we get the bound in Theorem 3''.