6 papers
Conformal Policy Selection: When to Deploy AI Decisions for Targeted Intervention
Junyu Cao, Ruijiang Gao, Maytal Saar-Tsechansky +1
Artificial-intelligence (AI) policies are increasingly used to make consequential decisions in medicine, finance, education, and public services, yet deploying them responsibly req…
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…
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…
Regularity of the volume function
Junyu Cao, Valentino Tosatti
We prove the optimal regularity of the volume function on the big cone of a projective manifold, and investigate its regularity when restricted to segments moving in ampl…
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…
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
Junyu Cao, Ruijiang Gao, Esmaeil Keyvanshokooh
Human doctors frequently recommend actionable recourses that allow patients to modify their conditions to access more effective treatments. Inspired by such healthcare scenarios, w…