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SLP-ProbHard: Probabilistic Hard-Constrained Learning via Structural Latent Parameterization
Many probabilistic predictors must satisfy exact structure in every stochastic realization, yet common hard-constraint approaches form predictions in ambient coordinates and then correct or project them. We introduce SLP-ProbHard, a cross-family, representation-centered framework for probabilistic h
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