We study estimating rare-event probabilities $I = \mathbb{P}(g(\mathbf{X})>\gamma)$ with $\mathbf{X} \sim \mathcal{N}(\boldsymbol{\mu}, \boldsymbol{\Sigma})$ and general $g : \mathbb{R}^d \to \mathbb{R}$. We address this problem through importance sampling, and propose a framework that substantially improves efficiency...
P. Lorek, R. Nowak, Rafal Topolnicki et al.· 0 citations
It is argued that robust CFE methods should be evaluated through a common protocol that specifies the model changes, measures their realized behavioral magnitude, and keeps generation performance separate from robustness.
CEL (Counterfactual Explanations Library), a unified library and benchmark for counterfactual explanations designed to support consistent implementation and evaluation, is introduced, believed to be the first comprehensive benchmark that systematically evaluates recent counterfactual explanation methods within a unifie...