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The Ridgeless minimum $\ell_2$-norm interpolator in overparametrized linear regression has attracted considerable attention in recent years in both machine learning and statistics communities.
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2021
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Chen Cheng, John Duchi, and Rohith Kuditipudi, Memorize to generalize: on the necessity of interpolation in high dimensional linear regression , Conference on Learning Theory, PMLR, 2022, pp. 5528–5560
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Pierre C. Bellec and Cun-Hui Zhang, Debiasing convex regularized estimators and interval estimation in linear models , Ann. Statist. 51
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