MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
arXiv:2604.23107v1 Announce Type: new
Abstract: Causal effect estimation from observational data requires careful adjustment for confounding. Classical estimators such as inverse probability weighting and augmented inverse probability weighting are ef…