67 citations · 111 across the 41 of their papers we have counts for
10 papers · 1 filter
Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes
Hanwen Ye, Tatiana Moreno, Adrianne Alpern +2
Mental health diseases affect children's lives and well-beings which have received increased attention since the COVID-19 pandemic. Analyzing psychiatric clinical notes with topic…
Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health
Jiuchen Zhang, Fei Xue, Qi Xu +2
Mobile health has emerged as a major success for tracking individual health status, due to the popularity and power of smartphones and wearable devices. This has also brought great…
Stackelberg Batch Policy Learning
Wenzhuo Zhou, Annie Qu
Batch reinforcement learning (RL) defines the task of learning from a fixed batch of data lacking exhaustive exploration. Worst-case optimality algorithms, which calibrate a value-…
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…
Stage-Aware Learning for Dynamic Treatments
Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu +1
Recent advances in dynamic treatment regimes (DTRs) facilitate the search for optimal treatments, which are tailored to individuals' specific needs and able to maximize their expec…
Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule
Qi Xu, Xiaoke Cao, Geping Chen +3
Individualized treatment rules (ITRs) have been widely applied in many fields such as precision medicine and personalized marketing. Beyond the extensive studies on ITR for binary…
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
Wenzhuo Zhou, Annie Qu, Keiland W. Cooper +2
Graph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks. Despite their success, however, existing GNNs suffer from two significant limi…
Optimal Individualized Treatment Rule for Combination Treatments Under Budget Constraints
Qi Xu, Haoda Fu, Annie Qu
The individualized treatment rule (ITR), which recommends an optimal treatment based on individual characteristics, has drawn considerable interest from many areas such as precisio…
De-confounding causal inference using latent multiple-mediator pathways
Yubai Yuan, Annie Qu
Causal effect estimation from observational data is one of the essential problems in causal inference. However, most estimation methods rely on the strong assumption that all confo…
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling
Qi Xu, Yubai Yuan, Junhui Wang +1
Crowdsourcing has emerged as an alternative solution for collecting large scale labels. However, the majority of recruited workers are not domain experts, so their contributed labe…