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Accelerated, Parallel, and PROXimal coordinate descent
Olivier Fercoq,
Peter Richtárik
Research output
:
Contribution to journal
›
Article
›
peer-review
171
Scopus citations
Overview
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Dive into the research topics of 'Accelerated, Parallel, and PROXimal coordinate descent'. Together they form a unique fingerprint.
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Computer Science
Vector Operation
100%
Distributed Version
100%
Convex Function
100%
Creative Commons
100%
Proximal Gradient Descent
100%
Individual Function
100%
Serial Version
100%
Weighted Average
100%
Dimensional Vector
100%
Parallel Version
100%
Coordinate Function
100%
Keyphrases
Randomized Coordinate Descent
100%
Coordinate Descent
100%
Separability
66%
Under-approximation
66%
Vector Operation
33%
Accelerated Proximal Gradient Method
33%
Creative Commons
33%
Loss Function
33%
Maximum Degree
33%
Coordinate Descent Method
33%
Convex Function
33%
Coordinate Functions
33%
Lipschitz Constant
33%
Accelerated Coordinate Descent
33%
Serial-parallel
33%
Individual Functions
33%
Proximal Gradient Descent
33%
Larger Step Size
33%
Coordinate Descent Algorithm
33%
Mathematics
Number
100%
Weighted Average
33%
Loss Function
33%
Initial Point
33%
Method Converges
33%
Lipschitz Constant
33%
Maximum Degree
33%
Convex Function
33%
Dimensional Vector
33%