Reviews: Data Cleansing for Models Trained with SGD

Reviewer 2 raises some important points and I agree with some of the concerns about the clarity of the paper and the contrast to existing other work. The authors' reply contains some additional experiments, which is great. And I appreciate the clarification of my misunderstanding of the storage of parameters, not gradients. Data cleansing is an important step in machine learning systems and principled approaches for automating this step is a valuable contribution. The setting considered by the authors covers a substantial fraction of ML algorithms used today.