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stat.ME2023
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…
stat.ML2023★ 1 cited
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…