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cs.AI2022
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data
Marco Zaffalon, Alessandro Antonucci, David Huber +1
We address the problem of integrating data from multiple, possibly biased, observational and interventional studies, to eventually compute counterfactuals in structural causal mode…
stat.ML2022★ 1 cited
Bounding Counterfactuals under Selection Bias
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas +2
Causal analysis may be affected by selection bias, which is defined as the systematic exclusion of data from a certain subpopulation. Previous work in this area focused on the deri…