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Maciej Ziȩba

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#machine learning Preprint Oct 2026

Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures

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
Jul 2026

CEL: Comprehensive Counterfactual Explanations Library and Benchmark

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...

Oleksii Furman, Lukasz Lenkiewicz, Marcel Musialek et al. · 0 citations

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