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Neural Information Processing Systems 

In this section, we formalize and substantiate the claims of Theorem 1 . Theorem 1 has three parts, which we address in the following sections. First, in Section A.2, we show that the classifier makes progress during the early-learning phase: over the first We prove this rigorously in Section A.3, which shows that the overall magnitude of the gradient terms Finally, in Section A.4, we prove In terms of and ", the gradient ( 2) reads rL We will use the phrase "with high probability" to denote an event which happens with probability We will prove the claim by induction. We proceed with the induction. We now show that the classifier's accuracy on the mislabeled This proves the first claim.

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