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B. DeMoss

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#machine learning Preprint Oct 2026

Escaping Parameter Space: Tight Generalization Bounds via Representation Quality

We derive a tight generalization bound for deterministic neural We derive a tight generalization bound for deterministic neural networks based on their last hidden layer representations. By evaluating representation quality with a parameter-free $k$-nearest-neighbor ($k$-NN) classifier, our certificate avoids tradition...

N. Göring, Shuo Zhang, B. DeMoss et al. · 0 citations