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20102026
most citedAn Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization

28 citations · 131 across the 41 of their papers we have counts for

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Showing 2014 · stat.MLShow all

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stat.ML2014★ 2 cited

On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach

Sam Davanloo Tajbakhsh, Necdet Serhat Aybat, Enrique Del Castillo

Iterative methods for fitting a Gaussian Random Field (GRF) model via maximum likelihood (ML) estimation requires solving a nonconvex optimization problem. The problem is aggravate…