Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

30 Oct 2017Beilun WangArshdeep SekhonYanjun Qi

We focus on the problem of estimating the change in the dependency structures of two $p$-dimensional Gaussian Graphical models (GGMs). Previous studies for sparse change estimation in GGMs involve expensive and difficult non-smooth optimization... (read more)

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