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News/Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere?
arxiv
PublishedOctober 21, 2026 at 4:00 AM

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere?

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arXiv:2507.11228v2 Announce Type: replace Abstract: Gradient descent on logistic regression has many fascinating properties not fully captured by classical analyses. For linearly separable data, the iterates converge in direction to the maximum-margin separator regardless of how large the step size

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