A mini-batch stochastic conjugate gradient algorithm with variance reduction

DOI10.1007/S10898-022-01205-4zbMath1528.90191MaRDI QIDQ6064058

Han Yang, CaiXia Kou

Publication date: 8 November 2023

Published in: Journal of Global Optimization (Search for Journal in Brave)

zbMATH Keywords

linear convergenceempirical risk minimizationdeep learningstochastic conjugate gradient

Mathematics Subject Classification ID

Convex programming (90C25) Numerical optimization and variational techniques (65K10) Stochastic programming (90C15) Methods of reduced gradient type (90C52)

Cites Work

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• Large-Scale Machine Learning with Stochastic Gradient Descent
• Global Convergence Properties of Conjugate Gradient Methods for Optimization
• A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
• A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
• Function minimization by conjugate gradients
• Some methods of speeding up the convergence of iteration methods
• The conjugate gradient method in extremal problems
• Methods of conjugate gradients for solving linear systems
• A Stochastic Approximation Method

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