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stat.ML2021
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…
stat.ML2020★ 3 cited
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…
stat.ML2020★ 2 cited
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…