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Conditional validity of heteroskedastic conformal regression
May 1, 2024, 4:43 a.m. | Nicolas Dewolf, Bernard De Baets, Willem Waegeman
cs.LG updates on arXiv.org arxiv.org
Abstract: Conformal prediction, and split conformal prediction as a specific implementation, offer a distribution-free approach to estimating prediction intervals with statistical guarantees. Recent work has shown that split conformal prediction can produce state-of-the-art prediction intervals when focusing on marginal coverage, i.e. on a calibration dataset the method produces on average prediction intervals that contain the ground truth with a predefined coverage level. However, such intervals are often not adaptive, which can be problematic for regression problems …
abstract art arxiv coverage cs.lg dataset distribution free implementation prediction regression split state statistical stat.ml type work
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