Nonconvex Sparse Logistic Regression with Weakly Convex Regularization.
Xinyue ShenYuantao GuPublished in: CoRR (2017)
Keyphrases
- convex optimization
- data fidelity term
- regularization term
- quadratic optimization problems
- convex functions
- total variation
- image restoration and reconstruction
- norm minimization
- convex formulation
- minimization problems
- risk minimization
- augmented lagrangian
- augmented lagrangian method
- convex programming
- convex relaxation
- penalty functions
- regularization parameter
- objective function
- interior point methods
- stationary points
- bregman divergences
- convex sets
- alternating direction method of multipliers
- denoising
- helmholtz principle
- optimization problems
- image restoration
- globally convergent
- global optimization
- convex hull
- data dependent
- nonlinear programming
- low rank
- cost function
- loss function
- rank minimization
- efficient optimization
- prior information
- support vector