arxiv
PublishedJuly 18, 2026 at 4:00 AM
—neutral
To Grok Grokking: Provable Grokking in Ridge Regression
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arXiv:2601.19791v4 Announce Type: replace Abstract: We study grokking, the onset of generalization long after overfitting, in a classical ridge regression setting. We prove end-to-end grokking results for learning over-parameterized linear regression models using gradient descent with weight decay.
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Originally published on arxiv ↗