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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper proposes closed-form estimators for sparsity-structured graphical models, expressed as exponential family distributions, under high-dimensional settings. The paper is strong in both the methodology and theory aspect. The paper is well structured and written. The paper would be even better if the authors can discuss the connection between the method in the paper with previous methods which can provide close-form estimators for special MRFs such as tree-width=1 or planar MRF.