Actionable CBFI: integrating structural decomposition and causal counterfactual recourse for tabular machine learning
Read the original at arxiv.org→arXiv:2608.27821v1 Announce Type: new Abstract: Explainable artificial intelligence (XAI) increasingly calls for actionable counterfactual recourse, yet current methodologies face challenges related to causal...
Original headline: "Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning"
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- Aug 31, 04:00 UTC arXiv cs.LG lead source Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning