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Deep Cox Mixtures for Survival Regression., , , и . MLHC, том 149 из Proceedings of Machine Learning Research, стр. 674-708. PMLR, (2021)Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks., , и . CoRR, (2020)Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines., , , , , , и . CHIL, стр. 19-29. ACM, (2020)Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking., , , , , , , , , и 2 other автор(ы). CoRR, (2023)The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa., , , , , , , , , и . EAAMO, стр. 10:1-10:24. ACM, (2024)Nonlinear Semi-Parametric Models for Survival Analysis., , , , , и . CoRR, (2019)auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data., , и . MLHC, том 182 из Proceedings of Machine Learning Research, стр. 585-608. PMLR, (2022)Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes., , и . CoRR, (2023)Counterfactual Phenotyping with Censored Time-to-Events., , , и . KDD, стр. 3634-3644. ACM, (2022)Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data., , , , , , и . ICDM Workshops, стр. 478-485. IEEE Computer Society, (2017)