AI RESEARCH
Adversary-Free Counterfactual Prediction via Information-Regularized Representations
arXiv CS.LG
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ArXi:2510.15479v2 Announce Type: replace We study counterfactual prediction under assignment bias and propose a mathematically grounded, information-theoretic approach that removes treatment-covariate dependence without adversarial