11 citations · 28 across the 6 of their papers we have counts for
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cs.AI2021★ 5 cited
Transport-based Counterfactual Models
Lucas de Lara, Alberto González-Sanz, Nicholas Asher +2
Counterfactual frameworks have grown popular in machine learning for both explaining algorithmic decisions but also defining individual notions of fairness, more intuitive than typ…
cs.AI2021★ 9 cited
Efficient Explanations for Knowledge Compilation Languages
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev +3
Knowledge compilation (KC) languages find a growing number of practical uses, including in Constraint Programming (CP) and in Machine Learning (ML). In most applications, one natur…