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20202023
most citedA first-order optimization algorithm for statistical learning with hierarchical sparsity structure

2 citations · 5 across the 4 of their papers we have counts for

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math.OC2020★ 2 cited

Riemannian Stochastic Variance-Reduced Cubic Regularized Newton Method for Submanifold Optimization

Dewei Zhang, Sam Davanloo Tajbakhsh

We propose a stochastic variance-reduced cubic regularized Newton algorithm to optimize the finite-sum problem over a Riemannian submanifold of the Euclidean space. The proposed al…

math.OC2020★ 2 cited

A first-order optimization algorithm for statistical learning with hierarchical sparsity structure

Dewei Zhang, Yin Liu, Sam Davanloo Tajbakhsh

In many statistical learning problems, it is desired that the optimal solution conforms to an a priori known sparsity structure represented by a directed acyclic graph. Inducing su…