3 citations · 7 across the 4 of their papers we have counts for
9 papers
Query-augmented Active Metric Learning
Yujia Deng, Yubai Yuan, Haoda Fu +1
In this paper we propose an active metric learning method for clustering with pairwise constraints. The proposed method actively queries the label of informative instance pairs, wh…
Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
Yunan Wu, Lan Wang, Haoda Fu
This paper develops new tools to quantify uncertainty in optimal decision making and to gain insight into which variables one should collect information about given the potential c…
Near-optimal Individualized Treatment Recommendations
Haomiao Meng, Ying-Qi Zhao, Haoda Fu +1
Individualized treatment recommendation (ITR) is an important analytic framework for precision medicine. The goal is to assign proper treatments to patients based on their individu…
Boosting Algorithms for Estimating Optimal Individualized Treatment Rules
Duzhe Wang, Haoda Fu, Po-Ling Loh
We present nonparametric algorithms for estimating optimal individualized treatment rules. The proposed algorithms are based on the XGBoost algorithm, which is known as one of the…
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…
Quantile Regression Modeling of Recurrent Event Risk
Huijuan Ma, Limin Peng, Chiung-Yu Huang +1
Progression of chronic disease is often manifested by repeated occurrences of disease-related events over time. Delineating the heterogeneity in the risk of such recurrent events c…