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Research questionHow can regression models produce tight, valid prediction intervals across confidence levels without retraining?Post-hoc conformal prediction can produce valid intervals that are wider than necessary because model training does not optimize interval efficiency. Supporting different confidence levels may also require retraining separate models, increasing computational cost.
Machine Learning
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal RegressorsThe source studies SPACR, a single-pass differentiable training approach for uncertainty-aware conformal regressors. Experiments on tabular and image datasets compare it with standard conformal prediction and DOICR, reporting tighter intervals, coverage-efficiency trade-offs, and reduced computational costs; the supplied abstract does not provide further dataset or guarantee details.research paper · Sep 2, 2026
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