Author

M. D'Oria

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#machine learning Preprint Sep 2026

SLP-ProbHard: Probabilistic Hard-Constrained Learning via Structural Latent Parameterization

SLP-ProbHard is introduced, a cross-family, representation-centered framework for probabilistic hard-constrained learning when explicit structural parameterizations are available, and how feasible coordinates and maps affect stochastic dimension, dependence, calibration, expressiveness, and computation is studied.

W. Bekele, M. D'Oria · 0 citations