AI RESEARCH
Debiased Front-Door Learners for Heterogeneous Effects
arXiv CS.LG
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ArXi:2509.22531v2 Announce Type: replace-cross In observational settings where treatment and outcome share unmeasured confounders but an observed mediator remains unconfounded, the front-door (FD) adjustment identifies causal effects through the mediator. We study the heterogeneous treatment effect (HTE) under FD identification and