Reviews: Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression

Neural Information Processing Systems 

The paper proposes a simple algorithm for L_p regression problems and justifies its efficiency both theoretically and empirically. Major concerns: 1) Related work: The comparison with related works is not sufficient. In Section, it only compares with the polynomial dependence. What are the advantages of the proposed one? Furthermore, the lack of sufficient baselines (at least Bubeck et al. [BCLL19] or Adil et al. [AKPS19]) in the numerical experiments weakens the superior of the proposed algorithm.