arXiv stat.ML
· Papers
Robust Conformalized Selection with Noisy Responses
arXiv:2607.22985v1 Announce Type: new Abstract: Conformalized selection has been widely applied to select high-quality candidates from large datasets with rigorous uncertainty quantification, such as reliable labeling, drug discovery, and the alignment of large language models. Nevertheless, existing methods assume cle