 Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda
for Developing Practical Guidelines and ToolsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 |
 Fairness Under Feature Exemptions: Counterfactual and Observational
MeasuresIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 |
 Learning Fair Representations for Kernel ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 |
