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A proximal stochastic gradient method with progressive variance reduction
Lin Xiao,
Tong Zhang
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Dive into the research topics of 'A proximal stochastic gradient method with progressive variance reduction'. Together they form a unique fingerprint.
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Keyphrases
Variance Reduction
100%
Stochastic Gradient Algorithm
100%
Proximal Stochastic Gradient
100%
Convex Function
50%
Gradient Method
25%
Objective Value
25%
Machine Learning
25%
Component Functions
25%
Strongly Convex
25%
Stochastic Gradient
25%
Proximal Point Algorithm
25%
Incremental Gradient Method
25%
Geometric Rate
25%
Normalized Full Gradient
25%
Regularized Empirical Risk Minimization
25%
Multistage Scheme
25%
Expected Goals
25%
Mathematics
Stochastics
100%
Variance Reduction
100%
Convex Function
40%
Variance
20%
Objective Function
20%
Component Function
20%
Empirical Risk Minimization
20%