JAWS: Auditing Predictive Uncertainty Under Covariate Shift. - Drew Prinster; Anqi Liu; Suchi Saria (NeurIPS, 2022)

JAWS: Predictive Inference Under Covariate Shift. - Drew Prinster; Anqi Liu; Suchi Saria (CoRR, 2022)

Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. - Drew Prinster; Suchi Saria; Anqi Liu (COPA, 2023)

JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift. - Drew Prinster; Suchi Saria; Anqi Liu (ICML, 2023)

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). - Drew Prinster; Samuel Don Stanton; Anqi Liu; Suchi Saria (ICML, 2024)

WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. - Drew Prinster; Xing Han; Anqi Liu; Suchi Saria (CoRR, 2025)

Improving Coverage in Combined Prediction Sets with Weighted p-values. - Gina Wong; Drew Prinster; Suchi Saria; Rama Chellappa; Anqi Liu (CoRR, 2025)