Despite the recent progress in deep neural networks (DNNs), it remains challenging to
explain the predictions made by DNNs. Existing explanation methods for DNNs mainly focus …

This thesis develops new methods and associated coverage guarantees for conformal
inference. We begin by discussing applications of the conformal framework to the online …

In predictive modelling for high‐stake decision‐making, predictors must be not only accurate
but also reliable. Conformal prediction (CP) is a promising approach for obtaining the …