1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li, Eugene Han, Yifan Hu +4
This paper addresses the challenge of offline policy learning in reinforcement learning with continuous action spaces when unmeasured confounders are present. While most existing r…
stat.ME2020★ 1 cited
Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data
Fei Xue, Yanqing Zhang, Wenzhuo Zhou +2
An optimal dynamic treatment regime (DTR) consists of a sequence of decision rules in maximizing long-term benefits, which is applicable for chronic diseases such as HIV infection…
stat.CO2018
orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization
Ruoqing Zhu, Jiyang Zhang, Ruilin Zhao +3
orthoDr is a package in R that solves dimension reduction problems using orthogonality constrained optimization approach. The package serves as a unified framework for many regress…