Keyphrases
Convex Optimization
100%
Lipschitz Continuous Gradient
100%
Locally Lipschitz Function
100%
Accelerated First-order Methods
100%
Accelerated Proximal Gradient Method
50%
Parameter-free
33%
Convex Optimization Problem
33%
Termination Criterion
33%
Operation Complexity
33%
Strongly Convex Optimization
33%
Proximal Augmented Lagrangian
33%
First-order
16%
Numerical Results
16%
Convexity
16%
Constrained Convex Optimization
16%
Complexity Results
16%
Complexity Guarantees
16%
Unconstrained Convex Optimization
16%
Engineering
Convex Optimization Problem
100%
Termination Criterion
100%
Free Parameter
100%
Lagrangian Method
50%
Subproblem
50%
Mathematics
Lagrangian
100%
Free Parameter
100%
Residuals
50%
Subproblem
50%
Computer Science
Convex Optimization
100%
Gradient Method
37%
Optimization Problem
25%
Free Parameter
25%
Termination Criterion
25%
Complexity Result
12%