papers
Publications (7)
cs.AI2026
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +306
stat.ME2026
A CV-TMLE global test approach to improve power in rare disease clinical studies with multiple-component endpoints
Tianyue Zhou, Susan Gruber, Hana Lee +3
cs.LG2026
Structure Detection for Contextual Reinforcement Learning
Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
cs.LG2025
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
cs.LG2024
Expert with Clustering: Hierarchical Online Preference Learning Framework
Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili +2
stat.ME2026
Towards Best Practices for Covariate Adjustment in Regulatory Trials: From Fixed to Data-Adaptive Approaches
Laura B. Balzer, Lei Nie, Issa J. Dahabreh +15
The paper discusses how to improve precision in randomized clinical trials by using covariate adjustment, comparing traditional fixed parametric methods with flexible data‑adaptive…
#covariate adjustment#randomized trials#machine learning#causal inference
stat.ME2026
Considerations for the Integration of Randomized Controlled Trials and Real-World Data
Sky Qiu, Charles Barr, Lauren Dang +18