Publications

Shengpu Tang, Jenna Wiens (2023). Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. NeurIPS 2023.

paper code poster video website arXiv

Aaman Peter Rebello, Shengpu Tang, Jenna Wiens, Sonali Parbhoo (2023). Leveraging Factored Action Spaces for Off-Policy Evaluation. Frontiers4LCD @ ICML 2023, Counterfactuals @ ICML 2023.

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Shengpu Tang, Felipe Vieira Frujeri, Dipendra Misra, Alex Lamb, John Langford, Paul Mineiro, Sebastian Kochman (2022). Towards Data-Driven Offline Simulations for Online Reinforcement Learning. Offline RL @ NeurIPS 2022.

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Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens (2022). Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. NeurIPS 2022 (Oral Presentation); also at DARL @ ICML 2022.

paper code poster video website arXiv

Shengpu Tang*, Fahad Kamran*, Erkin Otles, Dustin S. McEvoy, Sameh N. Saleh, Jen Gong, Benjamin Y. Li, Sayon Dutta, Xinran Liu, Richard J. Medford, Thomas S. Valley, Lauren R. West, Karandeep Singh, Seth Blumberg, John P. Donnelly, Erica S. Shenoy, John Z. Ayanian, Brahmajee K. Nallamothu, Michael W. Sjoding†, Jenna Wiens† (2022). Early Identification of Patients Admitted to Hospital for COVID-19 at Risk of Clinical Deterioration: Model Development and Multisite External Validation Study. The BMJ.

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Shengpu Tang*, Kayte Spector-Bagdady*, Sarah Jabbour*, W. Nicholson Price II, Ana Bracic, Melissa S. Creary, Sachin Kheterpal, Chad M. Brummett, Jenna Wiens (2021). Respecting Autonomy and Enabling Diversity: The Effect of Eligibility and Enrollment on Research Data Demographics. Health Affairs.

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Shengpu Tang, Jenna Wiens (2021). Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings. MLHC 2021; RL4RealLife Workshop @ ICML 2021.

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Shengpu Tang*, Jaewon Hur*, Vidhya Gunaseelan, Joceline Vu, Chad M. Brummett, Michael Englesbe, Jennifer Waljee†, Jenna Wiens† (2021). Predicting Postoperative Opioid Use with Machine Learning and Insurance Claims in Opioid-Naïve Patients. AJS.

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Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Michael W. Sjoding, Danai Koutra, Jenna Wiens (2020). Democratizing EHR Analyses with FIDDLE - A Flexible Data-Driven Preprocessing Pipeline for Structured Clinical Data. JAMIA.

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Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens (2020). Clinician-in-the-loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. ICML 2020.

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Karandeep Singh, Thomas S. Valley, Shengpu Tang, Benjamin Y. Li, Fahad Kamran, Michael W. Sjoding, Jenna Wiens, Erkin Otles, John P. Donnelly, Melissa Y. Wei, Jonathon P. McBride, Jie Cao, Carleen Penoza, John Z. Ayanian, Brahmajee K. Nallamothu (2020). Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 Patients. AnnalsATS.

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Shengpu Tang, Grant T. Chappell, Amanda Mazzoli, Muneesh Tewari, Sung Won Choi*, Jenna Wiens* (2020). Predicting Acute Graft-versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data from Electronic Health Records. JCO CCI.

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Jeeheh Oh*, Jiaxuan Wang*, Shengpu Tang, Michael W. Sjoding, Jenna Wiens (2019). Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. MLHC 2019.

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Shengpu Tang, et al (2019). A BioHackathon on the challenges of aging: Rapid need-finding and solution modeling in a student-led event.

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