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ORCIDShengpu Tang
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA
- unicode name: 唐笙普
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2020 – today
- 2022
[i5]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 abs/2211.07614 (2022)- [i4]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 abs/2211.15564 (2022) - 2021
- [c3]Shengpu Tang
, Jenna Wiens:
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings. MLHC 2021: 2-35 - [i3]Shengpu Tang, Jenna Wiens:
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings. CoRR abs/2107.11003 (2021) - 2020
- [j1]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): 1921-1934 (2020) - [c2]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: 9387-9396 - [i2]Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens:
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. CoRR abs/2007.12678 (2020)
2010 – 2019
- 2019
- [c1]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: 27-52 - [i1]Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens:
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. CoRR abs/1906.02898 (2019)
Coauthor Index
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