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Semi-Markov Offline Reinforcement Learning for Healthcare., , , , , , , and . CHIL, volume 174 of Proceedings of Machine Learning Research, page 119-137. PMLR, (2022)Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings., , , and . FAccT, page 723-734. ACM, (2021)The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations., , , , , and . FAccT, page 1194-1206. ACM, (2022)In the Name of Fairness: Assessing the Bias in Clinical Record De-identification., , , and . FAccT, page 123-137. ACM, (2023)Improving Mutual Information Estimation with Annealed and Energy-Based Bounds., , , , , and . ICLR, OpenReview.net, (2022)Machine Learning for Health (ML4H) Workshop at NeurIPS 2018., , , , , , , , , and 8 other author(s). CoRR, (2018)Machine learning and health need better values., and . npj Digit. Medicine, (2022)Racial Disparities and Mistrust in End-of-Life Care., , , , and . MLHC, volume 85 of Proceedings of Machine Learning Research, page 587-602. PMLR, (2018)Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery., , , , , and . AMIA, AMIA, (2021)Predicting Out-of-Domain Generalization with Neighborhood Invariance., , , and . Trans. Mach. Learn. Res., (2023)