Reviews: CatBoost: unbiased boosting with categorical features

UPDATE AFTER AUTHORS' RESPONSE Regarding "using one tree structure", I think I understand now, and I think the current wording is confusing. Both the manuscript and the response made me think that the *same* tree splits (internal nodes) are used for all of the boosting iterations. But looking at the argmin line in Algorithm 2, I think the intent is to say "the same feature is used to split all internal nodes at a given level of a tree" (aka, oblivious tree). If that is not right, then I am still confused. Regarding one random permutation, please update text to be more clear.