Double descent for least-squares interpolation on contaminated data: A simulation study

In three linesSimulation study on double descent phenomenon in linear regression with contaminated data. Authors compare least-squares interpolation (non-robust) against robust alternatives. Finding: overparametrization enables double descent, least-squares estimator outperforms robust methods despite outliers.

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