arXiv Machine Learning June 18, 2026 By Nicolas Mahler

Kernel of Partition Paths: A Unified Representation for Tree Ensembles

Read the original on arXiv Machine Learning →

arXiv:2606. 18853v1 Announce Type: cross Abstract: A recent line of work has reframed individual decision trees as linear models on engineered features associated with their splits, opening routes for oracle inequalities and feature-importance reinterpretation, but leaving open the question of what unified geometric object a forest induces when one indexes its feature map by nodes rather than by splits.

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