arxiv
PublishedMay 13, 2026 at 4:00 AM
Minimax Rates and Spectral Distillation for Tree Ensembles
Publisher summary· verbatim
arXiv:2605.11841v1 Announce Type: cross Abstract: Tree ensembles such as random forests (RFs) and gradient boosting machines (GBMs) are among the most widely used supervised learners, yet their theoretical properties remain incompletely understood. We adopt a spectral perspective on these algorithms
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Originally published on arxiv ↗