5 citations · 6 across the 7 of their papers we have counts for
10 papers
Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework
Wenzhuo Zhou, Yuhan Li, Ruoqing Zhu +1
We study high-confidence off-policy evaluation in the context of infinite-horizon Markov decision processes, where the objective is to establish a confidence interval (CI) for the…
Policy Learning for Individualized Treatment Regimes on Infinite Time Horizon
Wenzhuo Zhou, Yuhan Li, Ruoqing Zhu
With the recent advancements of technology in facilitating real-time monitoring and data collection, "just-in-time" interventions can be delivered via mobile devices to achieve bot…
Corrected kernel principal component analysis for model structural change detection
Luoyao Yu, Lixing Zhu, Ruoqing Zhu +1
This paper develops a method to detect model structural changes by applying a Corrected Kernel Principal Component Analysis (CKPCA) to construct the so-called central distribution…
Confidence Band Estimation for Survival Random Forests
Sarah Elizabeth Formentini, Wei Liang, Ruoqing Zhu
Survival random forest is a popular machine learning tool for modeling censored survival data. However, there is currently no statistically valid and computationally feasible appro…
Dermoscopic Image Classification with Neural Style Transfer
Yutong Li, Ruoqing Zhu, Annie Qu +1
Skin cancer, the most commonly found human malignancy, is primarily diagnosed visually via dermoscopic analysis, biopsy, and histopathological examination. However, unlike other ty…
Dimension Reduction Forests: Local Variable Importance using Structured Random Forests
Joshua Daniel Loyal, Ruoqing Zhu, Yifan Cui +1
Random forests are one of the most popular machine learning methods due to their accuracy and variable importance assessment. However, random forests only provide variable importan…