36 citations · 139 across the 27 of their papers we have counts for
5 papers · 1 filter
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui +1
Deep Reinforcement Learning (DRL) has demonstrated great potentials in solving sequential decision making problems in many applications. Despite its promising performance, practica…
A unified nonparametric fiducial approach to interval-censored data
Yifan Cui, Jan Hannig, Michael Kosorok
Censored data, where the event time is partially observed, are challenging for survival probability estimation. In this paper, we introduce a novel nonparametric fiducial approach…
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox
Yifan Cui
Unmeasured confounding is a threat to causal inference and gives rise to biased estimates. In this article, we consider the problem of individualized decision-making under partial…
Confidence Distribution and Distribution Estimation for Modern Statistical Inference
Yifan Cui, Min-ge Xie
This paper introduces to readers the new concept and methodology of confidence distribution and the modern-day distributional inference in statistics. This discussion should be of…
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…