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Learning Theory of Randomized Sparse Kaczmarz Method
Yunwen Lei, Ding Xuan Zhou
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Corresponding author for this work
Department of Mathematics
Research output
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Journal article
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peer-review
12
Citations (Scopus)
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Mathematics
Necessary and Sufficient Condition
100%
Variance
100%
Convergence Rate
100%
Approximate Solution
100%
Sufficient Condition
100%
Linear System
100%
Step Size
100%
Linear Convergence
100%
Thresholding
100%
Regression Function
100%
Nonlinear Regression
100%
Almost Sure Convergence
100%
Keyphrases
Learning Theory
100%
Kaczmarz Method
100%
Sampling Process
66%
Convergence Rate
33%
Linear Systems
33%
Linear Convergence
33%
Generalization Error
33%
Strong Convexity
33%
Bregman Distance
33%
Online Learning Algorithm
33%
Theory Analysis
33%
Almost Sure Convergence
33%
Mirror Descent Algorithm
33%
Mirror Map
33%
Online Mirror Descent
33%
Random Measurements
33%
Nonlinear Regression Function
33%
Soft-thresholding Operator
33%
Sparse Approximate Solutions
33%