2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2024
Cramming Contextual Bandits for On-policy Statistical Evaluation
Zeyang Jia, Kosuke Imai, Michael Lingzhi Li
We introduce the cram method as a general statistical framework for evaluating the final learned policy from a multi-armed contextual bandit algorithm, using the dataset generated…
stat.ME2023★ 2 cited
Causal inference with outcome dependent sampling and mismeasured outcome
Min Zeng, Zeyang Jia, Zijian Sui +2
Outcome-dependent sampling designs are extensively utilized in various scientific disciplines, including epidemiology, ecology, and economics, with retrospective case-control studi…
cs.LG2023
Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War
Zeyang Jia, Eli Ben-Michael, Kosuke Imai
Algorithmic decisions and recommendations are used in many high-stakes decision-making settings such as criminal justice, medicine, and public policy. We investigate whether it wou…