Review for NeurIPS paper: A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks

Weaknesses: The authors claim without justification that the standard tools used in NTK regimes CANNOT handle noisy gradient and regularizers (Line 28 and 168). It is not clear that whether the prior works just did not analyze these two particular scenarios due to limited space or similar, or these two scenarios cannot be handled in principle. If it is the first case, the results in this paper would be not quite significant, and can be considered as a natural extension of previous works. So, I suggest the author to spend a section or so to provide detailed analysis on how and why noisy gradient and regularizers can not be handled by standard NTK analysis. Note that the model f contains a scaling factor alpha, see Eq.(3.1) and (3.2).