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Accelerated dual-averaging primal–dual method for composite convex minimization

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Publication:5135253
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DOI10.1080/10556788.2020.1713779zbMath1454.90059arXiv2001.05537OpenAlexW2999988540WikidataQ126329485 ScholiaQ126329485MaRDI QIDQ5135253

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Publication date: 19 November 2020

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2001.05537


zbMATH Keywords

accelerationsparse dataprimal-dualempirical risk minimizationdual averaging algorithm


Mathematics Subject Classification ID

Convex programming (90C25)


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Uses Software

  • Saga


Cites Work

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  • Primal-dual subgradient methods for convex problems
  • A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
  • An optimal randomized incremental gradient method
  • A first-order primal-dual algorithm for convex problems with applications to imaging
  • Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
  • Katyusha: the first direct acceleration of stochastic gradient methods
  • A Proximal Stochastic Gradient Method with Progressive Variance Reduction
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