arXiv stat.ML
· Papers
The Confounder Trap: Treatment-Encoding Representations in Causal Inference with Text
arXiv:2607.26309v1 Announce Type: cross Abstract: Estimating causal effects of linguistic properties from observational text is difficult because the same document can contain both the treatment of interest and the non-treatment textual attributes needed for adjustment. Existing approaches often learn representations f