CALM learns embeddings to align mismatched covariates between RCTs and observational studies, transfers outcome models, and calibrates them on trial data to improve CATE estimation without imputation.
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Improving RCT-Based CATE Estimation Under Covariate Mismatch via Calibrated Alignment
CALM learns embeddings to align mismatched covariates between RCTs and observational studies, transfers outcome models, and calibrates them on trial data to improve CATE estimation without imputation.