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Exact Lipschitz Regularization of Convex Optimization Problems
Amir Beck
*
,
Marc Teboulle
*
Corresponding author for this work
School of Mathematical Sciences
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Dive into the research topics of 'Exact Lipschitz Regularization of Convex Optimization Problems'. Together they form a unique fingerprint.
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Keyphrases
Convergence Rate
100%
Linear Map
100%
Convex Optimization Problem
100%
Lipschitz Continuity
100%
Lipschitz Regularization
100%
Value-based
50%
Potential Gains
50%
Nonsmooth
50%
Value Function
50%
Extra Assumption
50%
Convex Function
50%
Dual Representation
50%
First-order Methods
50%
Hausdorff
50%
Convex Composite Optimization
50%
Composite Minimization Problems
50%
Rate Guarantees
50%
Nonsmooth Objective Function
50%
Mathematics
Regularization
100%
Linear Map
100%
Lipschitz Continuity
100%
Objective Function
50%
Function Value
50%
Minimization Problem
50%
Convergence Rate
50%
Hausdorff
50%
Valued Convex Function
50%