When do Random Forests work?

arXiv:2504.12860 · stat.ML, cs.LG · Submitted 2025-04-17 · Read on arXiv

stat.ML, cs.LG

Submitted: 2025-04-17

Updated: 2026-09-26

Terminology

• Regularization — 6× in this paper · explained in 3 episodes
• Signal-to-noise ratio (SNR) — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Error Decomposition — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes

Sources

• On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation
• Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
• Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests
• When does Subagging Work?

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