Optimized convergence of stochastic gradient descent by weighted averaging

DOI10.1080/10556788.2024.2306383WikidataQ128684763 ScholiaQ128684763MaRDI QIDQ6641001

Florian Jarre, Melinda Hagedorn

Publication date: 20 November 2024

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

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Numerical analysis (65-XX)

Cites Work

• Title not available (Why is that?)
• Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods
• On efficiently combining limited-memory and trust-region techniques
• Acceleration of Stochastic Approximation by Averaging
• On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression
• Some methods of speeding up the convergence of iteration methods
• Stochastic gradient boosting.

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