2025
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
NeurIPS 2025spotlight
The technique of data augmentation (DA) is often used in machine learning for regularization purposes to better generalize under i.i.d. settings. In this work, we present a unifying framework with topics in causal inference to make a case for the use of DA beyond just the i.i.d. setting, but for gen…