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Amortized Counterfactual Prediction with Graph Neural Networks

Stumpf, Hendrik et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Counterfactual inference asks how an observed outcome might have differed under different circumstances, such as whether a patient would have recovered had they received a different treatment. Such questions arise whenever decisions depend on the outcomes of alternatives that were not observed. Answ
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