A complexity-theoretic analysis of exact, tractable SHAP explanations for Tensor Networks and their implications for other ML models

We aggregate the conformal p-values of multiple inputs of the same instance to get a class conditionnal conformal set.

Conformal sets are constructed for the relative ranks of numerous items ordered by a black box algorithm.