João Calém

Sparse Activations as Conformal Predictors

2025 · arXiv (Cornell University)

Conformal prediction is a distribution-free framework for uncertainty quantification that replaces point predictions with sets, offering marginal coverage guarantees (i.e., ensuring that the prediction sets contain the true label with a specified probability, in expectation). …