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Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
Shai Shalev-Shwartz
,
Tong Zhang
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peer-review
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Dive into the research topics of 'Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization'. Together they form a unique fingerprint.
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Keyphrases
Inner-outer Iteration
50%
Iterative Method
50%
Learning-based Optimization
50%
Least Absolute Shrinkage and Selection Operator (LASSO)
50%
Logistic Regression
50%
One-class Support Vector Machine (OCSVM)
50%
Optimization Problem
50%
Regression SVM
50%
Regularized Loss Minimization
100%
Ridge Regression
50%
Stochastic Dual Coordinate Ascent
100%
Computer Science
Learning System
50%
Logistic Regression
50%
Loss Minimization
100%
Machine Learning
50%
Optimization Problem
50%
Ridge Regression
50%
Support Vector Machine
100%
Mathematics
Lasso Regression
50%
Logistic Regression
50%
Ridge Regression
50%
Stochastics
100%