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Interpretable Almost-Exact Matching for Causal Inference., , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2445-2453. PMLR, (2019)Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference., , , , and . CoRR, (2018)Diagnosing failures of fairness transfer across distribution shift in real-world medical settings., , , , , , , , , and 7 other author(s). NeurIPS, (2022)The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa., , , , , , , , , and . CoRR, (2024)Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa., , , , , and . CoRR, (2023)Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022., , , , , and . AFCP, volume 214 of Proceedings of Machine Learning Research, page 1-6. PMLR, (2022)Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?, , , , , , , , , and 7 other author(s). CoRR, (2022)A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021., , , , and . AFCR, volume 171 of Proceedings of Machine Learning Research, page 1-5. PMLR, (2021)