10 citations · 11 across the 4 of their papers we have counts for
4 papers
Predicting Mortgage Default with Machine Learning: AutoML, Class Imbalance, and Leakage Control
Xianghong Hu, Tianning Xu, Ying Chen +1
Mortgage default prediction is a core task in financial risk management, and machine learning models are increasingly used to estimate default probabilities and provide interpretab…
Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications
Yueqi Qian, Xianghong Hu, Can Yang
The Gaussian graphical model (GGM) incorporates an undirected graph to represent the conditional dependence between variables, with the precision matrix encoding partial correlatio…
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information
Zhiwei Wang, Fa Zhang, Cong Zheng +3
In various practical situations, matrix factorization methods suffer from poor data quality, such as high data sparsity and low signal-to-noise ratio (SNR). Here, we consider a mat…
Bayesian Weighted Mendelian Randomization for Causal Inference based on Summary Statistics
Jia Zhao, Jingsi Ming, Xianghong Hu +3
The results from Genome-Wide Association Studies (GWAS) on thousands of phenotypes provide an unprecedented opportunity to infer the causal effect of one phenotype (exposure) on an…