CausalWrap: Model-Agnostic Causal Constraint Wrappers for Tabular Synthetic Data

Amir Asiaee, Zhuohui J. Liang, Chao Yan

Tabular synthetic data generators are typically trained to match observational distributions, which can yield high conventional utility (e.g., column correlations, predictive accur…