Tang, Shengpu

9 publications

AAAI 2025 Transforming Healthcare Decision Making Using Artificial Intelligence Shengpu Tang

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

ICMLW 2023 Leveraging Factored Action Spaces for Off-Policy Evaluation Aaman Peter Rebello, Shengpu Tang, Jenna Wiens, Sonali Parbhoo

NeurIPS 2022 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare Shengpu Tang, Maggie Makar, Michael Sjoding, Finale Doshi-Velez, Jenna Wiens

ICMLW 2022 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare Shengpu Tang, Maggie Makar, Michael Sjoding, Finale Doshi-Velez, Jenna Wiens

NeurIPSW 2022 Towards Data-Driven Offline Simulations for Online Reinforcement Learning Shengpu Tang, Felipe Vieira Frujeri, Dipendra Misra, Alex Lamb, John Langford, Paul Mineiro, Sebastian Kochman

MLHC 2021 Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang, Jenna Wiens

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

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