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Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models.

, , , and . MLHC, volume 182 of Proceedings of Machine Learning Research, page 648-672. PMLR, (2022)

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Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning., , and . CoRR, (2023)Learning Conditional Invariance Through Cycle Consistency., , , , , and . GCPR, volume 13024 of Lecture Notes in Computer Science, page 376-391. Springer, (2021)Greedy Structure Learning of Hierarchical Compositional Models., , , , , , , and . CVPR, page 11612-11621. Computer Vision Foundation / IEEE, (2019)Addressing Leakage in Concept Bottleneck Models., , and . NeurIPS, (2022)Estimating Causal Effects With Partial Covariates For Clinical Interpretability., , and . CoRR, (2018)Adaptive Experimental Design for Intrusion Data Collection., , , , , and . CAMLIS, volume 3652 of CEUR Workshop Proceedings, page 134-151. CEUR-WS.org, (2023)Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning., , , , , and . J. Mach. Learn. Res., (2024)Transfer Learning from Well-Curated to Less-Resourced Populations with HIV., , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 589-609. PMLR, (2020)Policy Optimization with Sparse Global Contrastive Explanations., , , and . CoRR, (2022)Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions., , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3658-3667. PMLR, (2020)