Confidence on the focal: Conformal prediction with selection-conditional coverage
Conformal prediction builds marginally valid prediction intervals which cover the unknown
outcome of a randomly drawn new test point with a prescribed probability. In practice, a …
outcome of a randomly drawn new test point with a prescribed probability. In practice, a …
Transductive conformal inference with adaptive scores
U Gazin, G Blanchard… - … Conference on Artificial …, 2024 - proceedings.mlr.press
Conformal inference is a fundamental and versatile tool that provides distribution-free
guarantees for many machine learning tasks. We consider the transductive setting, where …
guarantees for many machine learning tasks. We consider the transductive setting, where …
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
DT Nguyen, R Pathak, AN Angelopoulos… - arXiv preprint arXiv …, 2024 - arxiv.org
Decision-making pipelines are generally characterized by tradeoffs among various risk
functions. It is often desirable to manage such tradeoffs in a data-adaptive manner. As we …
functions. It is often desirable to manage such tradeoffs in a data-adaptive manner. As we …