Tag: caos

CAOS: Conformal Aggregation of One-Shot Predictors arXiv:2601.05219v1 Announce Type: new Abstract: One-shot prediction enables rapid adaptation of pretrained foundation models to new tasks using only one labeled example, but lacks principled uncertainty quantification. While conformal prediction provides finite-sample coverage guarantees, standard split conformal methods are inefficient in the one-shot setting due to data splitting and…