Learning Time Series Segmentation Models from Temporally Imprecise Labels. - Roy Adams; Benjamin M. Marlin (UAI, 2018)

Learning Models from Data with Measurement Error: Tackling Underreporting. - Roy Adams; Yuelong Ji; Xiaobin Wang; Suchi Saria (ICML, 2019)

Evaluating Model Robustness to Dataset Shift. - Adarsh Subbaswamy; Roy Adams; Suchi Saria (CoRR, 2020)

Evaluating Model Robustness and Stability to Dataset Shift. - Adarsh Subbaswamy; Roy Adams; Suchi Saria (AISTATS, 2021)

Partial Identifiability in Discrete Data with Measurement Error. - Noam Finkelstein; Roy Adams; Suchi Saria; Ilya Shpitser (UAI, 2021)

A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models. - H. Echo Wang; Matthew Landers; Roy Adams; Adarsh Subbaswamy; Hadi Kharrazi; Darrell J. Gaskin; Suchi Saria (J. Am. Medical Informatics Assoc., 2022)

A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. - Adarsh Subbaswamy; Berkman Sahiner; Nicholas Petrick; Vinay Pai; Roy Adams; Matthew C. Diamond; Suchi Saria (npj Digit. Medicine, 2024)