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stat.ML2018
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi
The sparse inverse covariance estimation problem is commonly solved using an -regularized Gaussian maximum likelihood estimator known as "graphical lasso", but its comput…
stat.ML2017
Sparse Inverse Covariance Estimation for Chordal Structures
Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi
In this paper, we consider the Graphical Lasso (GL), a popular optimization problem for learning the sparse representations of high-dimensional datasets, which is well-known to be…