Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Stochastic Dual Coordinate Ascent methods for regularized loss minimization
Shai Shalev-Shwartz,
Tong Zhang
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Stochastic Dual Coordinate Ascent methods for regularized loss minimization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Regularized Loss Minimization
100%
Stochastic Dual Coordinate Ascent
100%
Stochastic Gradient Descent
66%
Popular
33%
Optimization Problem
33%
Convergence Analysis
33%
Supervised Machine Learning
33%
Machine Learning Optimization
33%
Dual Coordinate Ascent
33%
Computer Science
Gradient Descent
100%
Loss Minimization
100%
Optimization Problem
50%
Mathematical Convergence
50%
Support Vector Machine
50%
Machine Learning
50%
Learning System
50%
Mathematics
Stochastics
100%
Convergence Analysis
20%
Biochemistry, Genetics and Molecular Biology
Supervised Machine Learning
100%