154 citations · 179 across the 5 of their papers we have counts for
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stat.ML2019
High-dimensional Gaussian graphical model for network-linked data
Tianxi Li, Cheng Qian, Elizaveta Levina +1
Graphical models are commonly used to represent conditional dependence relationships between variables. There are multiple methods available for exploring them from high-dimensiona…
stat.ML2013★ 6 cited
Link prediction for partially observed networks
Yunpeng Zhao, Elizaveta Levina, Ji Zhu
Link prediction is one of the fundamental problems in network analysis. In many applications, notably in genetics, a partially observed network may not contain any negative example…
stat.ML2012★ 9 cited
Sparse Ising Models with Covariates
Jie Cheng, Elizaveta Levina, Pei Wang +1
There has been a lot of work fitting Ising models to multivariate binary data in order to understand the conditional dependency relationships between the variables. However, additi…