Doubly robust counterfactual and interventional mediation analysis with learned multimodal representations for health data shows improved causal identification through targeted representations
Read the original at arxiv.org→arXiv:2610.30220v1 Announce Type: new Abstract: Learned representations of high-dimensional multimodal health records are increasingly used to adjust for confounding, yet they are usually trained to reconstruct the...
Original headline: "When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations"
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- Oct 23, 04:00 UTC arXiv cs.LG lead source When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations