March 19, 2024, 4:45 a.m. | Salim I. Amoukou, Nicolas J. B Brunel

cs.LG updates on arXiv.org arxiv.org

arXiv:2209.14568v3 Announce Type: replace-cross
Abstract: Counterfactual Explanations (CE) face several unresolved challenges, such as ensuring stability, synthesizing multiple CEs, and providing plausibility and sparsity guarantees. From a more practical point of view, recent studies [Pawelczyk et al., 2022] show that the prescribed counterfactual recourses are often not implemented exactly by individuals and demonstrate that most state-of-the-art CE algorithms are very likely to fail in this noisy environment. To address these issues, we propose a probabilistic framework that gives a sparse …

abstract arxiv ces challenges counterfactual cs.lg face multiple practical regional robust rules show sparsity stability stat.ml studies type view

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