3 papers
cs.AI2026
LIBRA: Language Model Informed Bandit Recourse Algorithm for Personalized Treatment Planning
Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh +1
We introduce a unified framework that seamlessly integrates algorithmic recourse, contextual bandits, and large language models (LLMs) to support sequential decision-making in high…
stat.ML2025
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
Prateek Jaiswal, Esmaeil Keyvanshokooh, Junyu Cao
Randomized clinical trials often require large patient cohorts before drawing definitive conclusions, yet abundant observational data from parallel studies remains underutilized du…
cs.LG2024
A Conformal Approach to Feature-based Newsvendor under Model Misspecification
Junyu Cao
In many data-driven decision-making problems, performance guarantees often depend heavily on the correctness of model assumptions, which may frequently fail in practice. We address…