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Research questionHow can probabilistic regression provide valid uncertainty estimates for unbounded outcomes?Probabilistic predictors with validity guarantees have largely been limited to binary or bounded regression. Unbounded continuous targets make it difficult to extend those guarantees while retaining useful point predictions.
Machine Learning
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Inductive Venn-Abers and related regressorsThe source generalizes Venn-Abers predictors to unbounded regression by incorporating conformal prediction. Simulations and empirical studies examine the predictive efficiency of derived point regressors and report some improvement over standard regressors for larger training sets.research paper · Sep 4, 2026
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