Certifying Robustness to Programmable Data Bias in Decision Trees. - Anna P. Meyer; Aws Albarghouthi; Loris D'Antoni (NeurIPS, 2021)

Certifying Data-Bias Robustness in Linear Regression. - Anna P. Meyer; Aws Albarghouthi; Loris D'Antoni (CoRR, 2022)

The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions. - Anna P. Meyer; Aws Albarghouthi; Loris D'Antoni (FAccT, 2023)

On Minimizing the Impact of Dataset Shifts on Actionable Explanations. - Anna P. Meyer; Dan Ley; Suraj Srinivas; Himabindu Lakkaraju (UAI, 2023)

Verified Training for Counterfactual Explanation Robustness under Data Shift. - Anna P. Meyer; Yuhao Zhang; Aws Albarghouthi; Loris D'Antoni (CoRR, 2024)

Perceptions of the Fairness Impacts of Multiplicity in Machine Learning. - Anna P. Meyer; Yea-Seul Kim; Loris D'Antoni; Aws Albarghouthi (CHI, 2025)