Petrick, Nicholas

5 publications

CLeaR 2024 Designing Monitoring Strategies for Deployed Machine Learning Algorithms: Navigating Performativity Through a Causal Lens Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

AISTATS 2024 Is This Model Reliable for Everyone? Testing for Strong Calibration Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene A Pennello, Berkman Sahiner

AISTATS 2024 Monitoring Machine Learning-Based Risk Prediction Algorithms in the Presence of Performativity Jean Feng, Alexej Gossmann, Gene A Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio

NeurIPSW 2023 Towards a Post-Market Monitoring Framework for Machine Learning-Based Medical Devices: A Case Study Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

UAI 2022 Sequential Algorithmic Modification with Test Data Reuse Jean Feng, Gene Pennllo, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann