Nikolai Matni

PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction

2019 · arXiv (Cornell University)

We propose an algorithm combining calibrated prediction and generalization bounds from learning theory to construct confidence sets for deep neural networks with PAC guarantees---i.e., the confidence set for a given input contains the true label …