A Data-dependent Early Stopping Rule using Rademacher Complexity with L1-norm
cs.LG
Submitted: 2026-08-25
Updated: 2026-08-25
Terminology
Sources
- Understanding intermediate layers using linear classifier probes
- Reconciling modern machine learning practice and the bias-variance trade-off
- Gradient Descent Provably Optimizes Over-parameterized Neural Networks
- Early Stopping in Deep Networks: Double Descent and How to Eliminate it
- Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
- On Regularization via Early Stopping for Least Squares Regression
- When and how epochwise double descent happens
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