most citedA proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions

13 citations · 13 across the 1 of their papers we have counts for

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stat.ML2013★ 13 cited

A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions

Quoc Tran Dinh, Anastasios Kyrillidis, Volkan Cevher

We propose an algorithmic framework for convex minimization problems of a composite function with two terms: a self-concordant function and a possibly nonsmooth regularization term…