A unified approach to error bounds for structured convex optimization problems.
Zirui ZhouAnthony Man-Cho SoPublished in: Math. Program. (2017)
Keyphrases
- error bounds
- convex optimization problems
- convex optimization
- theoretical analysis
- optimization problems
- worst case
- primal dual
- learning problems
- structured sparsity
- interior point methods
- machine learning algorithms
- image restoration
- machine learning
- model selection
- cost function
- lower bound
- multiscale
- learning algorithm