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Machine Learning for Health (ML4H) 2023., , , , , , , , , и 21 other автор(ы). ML4H@NeurIPS, том 225 из Proceedings of Machine Learning Research, стр. 1-12. PMLR, (2023)Machine Learning for Health (ML4H) 2022., , , , , , , , , и 14 other автор(ы). ML4H@NeurIPS, том 193 из Proceedings of Machine Learning Research, стр. 1-11. PMLR, (2022)Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation., и . CoRR, (2023)Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare., , , , и . NeurIPS, (2022)Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings., и . MLHC, том 149 из Proceedings of Machine Learning Research, стр. 2-35. PMLR, (2021)Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 9387-9396. PMLR, (2020)Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series., , , , и . MLHC, том 106 из Proceedings of Machine Learning Research, стр. 27-52. PMLR, (2019)Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data., , , , , и . J. Am. Medical Informatics Assoc., 27 (12): 1921-1934 (2020)