Anti-Causal Domain Generalization Using Unlabeled Data

This method addresses domain generalization in anti-causal settings where outcomes cause observed covariates. By leveraging unlabeled data, the approach regularizes model sensitivity to environment perturbations that do not affect the final outcome.