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Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies.

, , , and . CoRR, (2020)

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ML4H Abstract Track 2019., , , , , , , and . CoRR, (2020)Evaluating Robustness to Dataset Shift via Parametric Robustness Sets., , and . NeurIPS, (2022)Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium., , , , , , , , , and 33 other author(s). CoRR, (2024)Auditing Fairness under Unobserved Confounding., , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4339-4347. PMLR, (2024)Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies., , , and . CoRR, (2020)Characterization of Overlap in Observational Studies., , , , , , and . CoRR, (2019)Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance., , , , , and . NeurIPS, page 15328-15343. (2021)Benchmarking Observational Studies with Experimental Data under Right-Censoring., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4285-4293. PMLR, (2024)Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models., and . CoRR, (2019)Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes., , , , and . KDD, page 1937-1947. ACM, (2020)