Review for NeurIPS paper: A convex optimization formulation for multivariate regression

Weaknesses: The major weaknesses of the paper are listed below: 1. There are some potential inaccuracies in the description of the algorithm. For example, in Section 3.1, the first equalities in the two lines of equations after line 210 should be \approx instead, right? And does the notation p_{\tau_B} ' denote the sub-gradient of p_{\tau_B}? In general, some more explanations about the linearization here would be helpful.