Review for NeurIPS paper: Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View

The paper studies the statistical behaviour of certain multiclass classification algorithms in the doubly-asymptotic limit of n, d - . The results elucidate certain differences compared to the analysis of binary classifiers, such as dependence on class-correlation matrices. One reviewer raised concerns about the results not providing insight into generalisation performance. The response indicates this is not the case, and this was corroborated by other reviews and my own reading. One critique raised by a couple of reviewers was regarding the specialised nature of the results, which are for linear classifiers and specific data models.