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Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations.

, , , and . CoRR, (2020)

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Learning Matching Representations for Individualized Organ Transplantation Allocation., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2134-2142. PMLR, (2021)Clairvoyance: A Pipeline Toolkit for Medical Time Series., , , , , and . CoRR, (2023)DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction., , , and . CoRR, (2022)Learning "What-if" Explanations for Sequential Decision-Making., , , and . ICLR, OpenReview.net, (2021)Invariant Causal Imitation Learning for Generalizable Policies., , and . NeurIPS, page 3952-3964. (2021)Time-series Generation by Contrastive Imitation., , and . NeurIPS, page 28968-28982. (2021)Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 884-895. PMLR, (2020)Strictly Batch Imitation Learning by Energy-based Distribution Matching., , and . NeurIPS, (2020)OrganITE: Optimal transplant donor organ offering using an individual treatment effect., , , , and . NeurIPS, (2020)The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation., , , , and . NeurIPS Datasets and Benchmarks, (2021)