Shengpu Tang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Chronic Hepatitis

Policy Evaluation

Reinforcement Learning

Extended Abstract

Top Venues

Publications

Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. CoRR (2023)
Shengpu Tang, Jenna Wiens
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. NeurIPS (2023)
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS (2023)
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh
Machine Learning for Health symposium 2023 - Findings track. CoRR (2023)
Aaman Rebello, Shengpu Tang, Jenna Wiens, Sonali Parbhoo
Leveraging Factored Action Spaces for Off-Policy Evaluation. CoRR (2023)
Shengpu Tang, Jenna Wiens
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. CoRR (2023)
Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS (2022)
Shengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. NeurIPS (2022)
Shengpu Tang, Felipe Vieira Frujeri, Dipendra Misra, Alex Lamb, John Langford, Paul Mineiro, Sebastian Kochman
Towards Data-Driven Offline Simulations for Online Reinforcement Learning. CoRR (2022)
Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
Machine Learning for Health symposium 2022 - Extended Abstract track. CoRR (2022)
Shengpu Tang, Jenna Wiens
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings. MLHC (2021)
Shengpu Tang, Jenna Wiens
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings. CoRR (2021)
Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. ICML (2020)
Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, Michael W. Sjoding, Jenna Wiens
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. CoRR (2020)
Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. MLHC (2019)
Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. CoRR (2019)