Benign overfitting for maximum-margin linear classification holds under much weaker distributional assumptions than previously known, and the noisy strong-signal regime shows a new phase transition.
Then, we have β₯ Λπβ₯ β¨ Λπ, πβ© 2 β 1 β₯ πβ₯2+ 1 ππβ₯ πβ₯4
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Universality of Benign Overfitting in Binary Linear Classification
Benign overfitting for maximum-margin linear classification holds under much weaker distributional assumptions than previously known, and the noisy strong-signal regime shows a new phase transition.