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A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

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This paper provides a succinct overview of this emerging theory of overparameterized ML (henceforth abbreviated as TOPML) that explains these recent findings through a statistical signal processing perspective. We emphasize the unique aspects that define the TOPML research area as a subfield of modern ML theory and outline interesting open questions that remain.

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