f1298750ed09618717f9c10ea8d1d3b0-AuthorFeedback.pdf

We thank the reviewers for the detailed and insightful feedback. The reviewers noted that the paper "target[s] a timely "missing ... a bound on the target accuracy of the final classifier (in analogy to Theorem 3.2 which studies a Clarification on why this is not provided or difficult to provide ... would be useful." Instead, we focus on removing the spurious features. "[theory not surprising because loss] would favor good features due to their correlation with the model", "unclear We respectfully and strongly disagree. In Figure 10, the two losses achieve equivalent empirical performance.