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Constructing effective personalized policies using counterfactual inference from biased data sets with many features.

, , , and . Mach. Learn., 108 (6): 945-970 (2019)

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Structured Learning and Decision-Making for Medical Informatics.. University of California, Los Angeles, USA, (2018)base-search.net (ftcdlib:qt5rd173sf).Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features., , , and . CoRR, (2016)Learning Optimal Policies from Observational Data., , and . CoRR, (2018)Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling., , , , , and . IEEE BigData, page 1308-1317. IEEE, (2018)Data-Driven Online Decision Making with Costly Information Acquisition., , and . CoRR, (2016)Global Bandits with Holder Continuity., , and . CoRR, (2014)Bandit framework for systematic learning in wireless video-based face recognition., , , and . ICASSP, page 704-708. IEEE, (2014)Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networks., , , and . IEEE Trans. Wirel. Commun., 16 (2): 1024-1036 (2017)Global Bandits., , and . IEEE Trans. Neural Networks Learn. Syst., 29 (12): 5798-5811 (2018)Constructing effective personalized policies using counterfactual inference from biased data sets with many features., , , and . Mach. Learn., 108 (6): 945-970 (2019)