Charchit Sharma

On Counterfactual Data Augmentation Under Confounding

2023 · arXiv (Cornell University)

Counterfactual data augmentation has recently emerged as a method to mitigate confounding biases in the training data. These biases, such as spurious correlations, arise due to various observed and unobserved confounding variables in the data …