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Affine-invariant Cubic Newton with Weak Learners

arXiv:2610.33516v1 Announce Type: new Abstract: Modern gradient boosting algorithms are based on Newton's method, which excels empirically but lacks global convergence guarantees. While recent work on Gradient-Regularized Newton (GRN) boosting achieved a global $\mathcal{O}(1/\gamma^{12}k^2)$ rate,…

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  1. 2026-10-27 04:00 · arXiv stat.ML
    Affine-invariant Cubic Newton with Weak Learners

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