5 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…
Relaxation of Projected Prior with Continuous Gap Shrinkage
Leo L Duan, Sunghyun Cho, Mingzhang Yin
Projected priors were originally introduced to accommodate parameter constraints, but have recently regained popularity due to their ability to assign probability mass to low-dimen…
Adjusting Regression Models for Conditional Uncertainty Calibration
Ruijiang Gao, Mingzhang Yin, James McInerney +1
Conformal Prediction methods have finite-sample distribution-free marginal coverage guarantees. However, they generally do not offer conditional coverage guarantees, which can be i…
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
Mingzhang Yin, Ruijiang Gao, Weiran Lin +1
Designing products to meet consumers' preferences is essential for a business's success. We propose the Gradient-based Survey (GBS), a discrete choice experiment for multiattribute…
Confounding-Robust Policy Improvement with Human-AI Teams
Ruijiang Gao, Mingzhang Yin
Human-AI collaboration has the potential to transform various domains by leveraging the complementary strengths of human experts and Artificial Intelligence (AI) systems. However,…