Author

E. Mingione

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Preprint Aug 2026

Variational Bounds for Perceptron Learning from Structured Data

A variational approach to a finite-temperature continuous-spin perceptron trained on a Gaussian mixture is introduced and lower and upper minimax variational bounds for the limiting quenched pressure are derived.

Francesco Camilli, P. Contucci, Federica Gerace et al. · 0 citations