A Randomized Block Coordinate Iterative Regularized Subgradient Method for High-dimensional Ill-posed Convex Optimization.
Harshal KaushikFarzad YousefianPublished in: ACC (2019)
Keyphrases
- convex optimization
- high dimensional
- subgradient method
- norm minimization
- optimization problems
- low rank
- objective function
- image restoration
- total variation
- convex optimization problems
- interior point methods
- primal dual
- convex relaxation
- feature space
- augmented lagrangian
- dimensionality reduction
- high dimensional data
- super resolution
- lagrangian relaxation
- data points