2021
Evaluating model performance under worst-case subpopulations
NeurIPS 2021poster
The performance of ML models degrades when the training population is different from that seen under operation. Towards assessing distributional robustness, we study the worst-case performance of a model over all subpopulations of a given size, defined with respect to core attributes $Z$. This notio…