Adversary-Free Counterfactual Prediction via Information-Regularized Representations
arXiv:2510.15479v2 Announce Type: replace-cross
Abstract: We study counterfactual prediction under assignment bias and propose a mathematically grounded, information-theoretic approach that removes treatment-covariate dependence without adversarial tr…