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News/Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting
arxiv
PublishedMay 1, 2026 at 4:00 AM
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Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting

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arXiv:2602.05371v3 Announce Type: replace Abstract: Oblique decision trees combine the transparency of trees with the power of multivariate decision boundaries, but learning high-quality oblique splits is NP-hard, and practical methods still rely on slow search or theory-free heuristics. We present

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Mentioned models
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  • 01
    Hinge Regression Tree (HRT)
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Read original ↗All from arxiv →
Tags
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#machine-learning#decision-trees#optimization#universal-approximator

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