Characterization of Excess Risk for Locally Strongly Convex Population Risk

Neural Information Processing Systems 

The core problem in machine learning is obtaining a model that generalizes well on unseen test data. The excess risk decides the model's performance on these unseen data, and it can be decomposed

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