See also: Team.
Publications
2026
-
Off Policy Evaluation Under Temporal Mismatch
Ritam Majumdar, Shengpu Tang, Sonali Parbhoo
RLC 2026 Finding the Frame Workshop
-
Clarifying Uncertainty Quantification in Off-Policy Evaluation: Beyond Effective Sample Sizes, Towards Confidence Intervals
Aditya Dutta, Kaixuan Liu, Shengpu Tang
ICML 2026 “DEMO” Workshop on Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning
-
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation
Aishwarya Mandyam, Shengpu Tang, Jiayu Yao, Jenna Wiens, Barbara E Engelhardt
CHIL 2026
-
Causal Discovery for Efficient Offline RL with Factored Action Spaces
Cecilia Ehrlichman, Michael Dykstra, Shengpu Tang, Maggie Makar
CLeaR 2026; also at UAI 2026 Workshop on Causality for Decision Making.
-
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
Ziyan Wang, Zheng Wang, Jie Fu, Xingwei Qu, Qi Cheng, Shengpu Tang, Minjia Zhang, Xiaoming Huo
ICLR 2026
2025
-
Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment
Yingchuan Sun, Shengpu Tang
ML4H 2025 - Proceedings Track. Dec 2025.
Also presented at workshops: ARLET @ NeurIPS 2025, TS4H @ NeurIPS 2025, RL4RS @ RLC 2025 -
An Adaptive Machine Learning Triage Framework for Predicting Alzheimer’s Disease Progression
Richard Hou, Shengpu Tang*, Wei Jin*
ML4H 2025 - Findings Track. Dec 2025
-
Off by a Beat: Temporal Misalignment in Offline RL for Healthcare
Shengpu Tang, Jiayu Yao, Jenna Wiens, Sonali Parbhoo
RLC 2025 Finding the Frame Workshop; RLC 2025 RL4RS Workshop. Aug 2025.
-
Reconciling Set-Valued Policy & Dead-End Discovery in RL: An Empirical Analysis
Sixing Wu, Shengpu Tang
RLC 2025 CoCoMARL Workshop; RLC 2025 Finding the Frame Workshop. Aug 2025.
-
Between Life and Death: Examining Sparse Reward Designs in Healthcare RL
Yuxuan Shi*, Matthew Lafrance*, Shengpu Tang
RLC 2025 RL4RS Workshop. Aug 2025.
