Review for NeurIPS paper: Learning Strategy-Aware Linear Classifiers

Additional Feedback: Overall, I think that this paper fits the NeurIPS standard and will be interesting to the community, so I recommend accepting it. However, I have a few questions I wish the authors could answer: • The issue with {\hat y} is puzzling. Almost all prior work on strategic classification assumes that the agents can only misreport their feature vectors while the labels are the agents' inherent property. In this paper, as a byproduct of defining h*, agents can hypothetically change their label too. However, the semi-formal discussion in lines 96-100 forbids it. Formally, this is equivalent to restricting the agent (the optimization problem in line 92) to pick z that with h*(z) y_t.