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Caihong Wang

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Preprint Aug 2026

Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees

This work proposes a neighboring early-stopping rule for adaptive regularization in KRR with random features (KRR-RF), using a grid that is uniform in inverse regularization and compares only adjacent estimators, reducing the number of discrepancy comparisons relative to standard all-pairs Lepskii-type procedures.

Caihong Wang, Zhi-Bo Chen, Yue Wang · 0 citations