SimPONet jointly trains on real observational data and simulator counterfactuals to estimate CATE from post-treatment covariates, guided by a new generalization bound.
Recovering causal effects from selection bias
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Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
SimPONet jointly trains on real observational data and simulator counterfactuals to estimate CATE from post-treatment covariates, guided by a new generalization bound.