LOCO-AdaMP: Built-in LOCO Inference for Adaptive Minipatch Ensembles with Enhanced Prediction
stat.ML, cs.LG, stat.ME
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/yinan-cc/LOCO-AdaMP
Terminology
Sources
- Debugging Tests for Model Explanations
- Revisiting Randomization in Greedy Model Search
- Top-$k$ Feature Importance Ranking
- Disentangled Feature Importance
- LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
- Model-Agnostic Feature Selection via LOCO-Guided Adaptive Minipatch Sampling
- Consistent feature attribution for tree ensembles
- Reliable and scalable variable importance estimation via warm-start and early stopping
- Feature Selection for Huge Data via Minipatch Learning
- Floodgate: inference for model-free variable importance
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