310 citations · 2k across the 67 of their papers we have counts for
68 papers
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Runzhe Wan, Yingying Li, Wenbin Lu +1
Latent factor model estimation typically relies on either using domain knowledge to manually pick several observed covariates as factor proxies, or purely conducting multivariate a…
Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data
Kevin Gunn, Wenbin Lu, Rui Song
A treatment regime is a rule that assigns a treatment to patients based on their covariate information. Recently, estimation of the optimal treatment regime that yields the greates…
Distributed Community Detection in Large Networks
Sheng Zhang, Rui Song, Wenbin Lu +1
Community detection for large networks poses challenges due to the high computational cost as well as heterogeneous community structures. In this paper, we consider widely existing…
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
Haoyu Chen, Wenbin Lu, Rui Song +1
Machine learning has become more important in real-life decision-making but people are concerned about the ethical problems it may bring when used improperly. Recent work brings th…
Targeted Optimal Treatment Regime Learning Using Summary Statistics
Jianing Chu, Wenbin Lu, Shu Yang
Personalized decision-making, aiming to derive optimal treatment regimes based on individual characteristics, has recently attracted increasing attention in many fields, such as me…
A Probit Tensor Factorization Model For Relational Learning
Ye Liu, Rui Song, Wenbin Lu +1
With the proliferation of knowledge graphs, modeling data with complex multirelational structure has gained increasing attention in the area of statistical relational learning. One…