arXiv stat.ML
· Papers
Feature Bagging Provides Stability
arXiv:2607.26964v1 Announce Type: new Abstract: We study feature bagging through the lens of algorithmic stability. Feature bagging is an ensemble strategy that aggregates base learners trained on randomly subsampled feature subsets, possibly in a data-dependent manner. We introduce feature instability (FI), the featur