Ziyi Liang

Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping

Early stopping based on hold-out data is a popular regularization technique designed to mitigate overfitting and increase the predictive accuracy of neural networks. Models trained with early stopping often provide relatively accurate predictions, but they generally still lack precise statistical gu…