We thank all reviewers for their efforts in reviewing our paper, and for the helpful comments and suggestions

We thank all reviewers for their efforts in reviewing our paper, and for the helpful comments and suggestions. "Id like to see some statistical properties of these new loss functions, and how they are compared to the "The authors are encouraged to present more theoretical & empirical analysis on the robustness of these loss We provide strong empirical evidence of the efficacy of our method, i.e. for dropping the convexity in the We leave this up to future work. Reviewer 3: We will add the additional references you suggested. "There are many possibilities for combining heavy-tailed distributions and robust/consistent divergence. The computational cost is only negligibly larger than the cost of logistic regression.