Daniel Nemirovsky

CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs

Model interpretability, fairness, and recourse for end users have increased as machine learning models have become increasingly popular in areas including criminal justice, finance, healthcare, and job marketplaces. This work presents a novel method of addressing these issues by producing meaningful…