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PENEX: AdaBoost-Inspired Neural Network Regularization

PENEX introduces a multi-class exponential loss optimized via first-order methods that increases margins and improves neural network generalization in low-data regimes.

Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5