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Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes., , and . J. Mach. Learn. Res., (2016)Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment., , , and . NeurIPS, (2020)Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options., , and . DSAA, page 565-574. IEEE, (2018)Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model., , , , and . NeurIPS, page 27747-27760. (2021)Fusing Individualized Treatment Rules Using Secondary Outcomes., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 712-720. PMLR, (2024)Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments., , , and . CoRR, (2020)Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge., , , , , , , , , and 60 other author(s). npj Digit. Medicine, (2021)A divergence formula for regularization methods with an L2 constraint, , and . (Mar 15, 2012)Reinforcement Learning with Hidden Markov Models for Discovering Decision-Making Dynamics., , and . CoRR, (2024)Digitalized Global Impact Localization for Complex Composites Based on Wireless PZT Sensor Network., , , and . IEEE Trans. Instrum. Meas., (2023)