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Four Ways to Grow a Classifier and Why One of Them Cannot Learn

arXiv cs.LG ↗ · 2026-10-03 Cached

This paper analyzes four growth strategies for constructive classifiers (soft decision trees and related models) under a unified protocol, proving that the natural way to deepen a soft decision tree leaves new gates with identically zero gradients, making them unable to learn — and showing a small random perturbation fixes it.

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