Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression

Neural Information Processing Systems 

Despite the significant role of data and algorithm in generalization analysis, existing theories usually focus on either the data factor ( e.g., uniform convergence [

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