most citedVariance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums

2 citations · 3 across the 2 of their papers we have counts for

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2 papers

math.OC2022★ 1 cited

A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data

Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan +1

Nonnegative (linear) least square problems are a fundamental class of problems that is well-studied in statistical learning and for which solvers have been implemented in many of t…

math.OC2021★ 2 cited

Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums

Chaobing Song, Stephen J. Wright, Jelena Diakonikolas

We study structured nonsmooth convex finite-sum optimization that appears widely in machine learning applications, including support vector machines and least absolute deviation. F…