2 papers
cs.LG2026
On the Definition and Detection of Cherry-Picking in Counterfactual Explanations
James Hinns, Sofie Goethals, Stephan Van der Veeken +2
Counterfactual explanations are widely used to communicate how inputs must change for a model to alter its prediction. For a single instance, many valid counterfactuals can exist,…
stat.ML2025
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
Galit Shmueli, David Martens, Jaewon Yoo +1
Counterfactuals play a pivotal role in the two distinct data science fields of causal inference (CI) and explainable artificial intelligence (XAI). While the core idea behind count…