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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing.

, , , and . CIKM, page 606-616. ACM, (2021)

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Probabilistic Machine Learning for Healthcare., , , and . CoRR, (2020)Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems., , , , and . CoRR, (2019)Towards Robust and Reliable Algorithmic Recourse., , and . NeurIPS, page 16926-16937. (2021)Confounding Feature Acquisition for Causal Effect Estimation., , , and . ML4H@NeurIPS, volume 136 of Proceedings of Machine Learning Research, page 379-396. PMLR, (2020)What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB., , , , , , , , , and 5 other author(s). FAccT, page 1505-1519. ACM, (2023)What went wrong and when? Instance-wise Feature Importance for Time-series Models., , , and . CoRR, (2020)Ethical Machine Learning in Health Care., , , , , and . CoRR, (2020)What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use., , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 359-380. PMLR, (2019)"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts., , , and . CoRR, (2022)Machine Learning for Health symposium 2022 - Extended Abstract track., , , , , , and . CoRR, (2022)