Nonconvex Sparse Logistic Regression With Weakly Convex Regularization.
Xinyue ShenYuantao GuPublished in: IEEE Trans. Signal Process. (2018)
Keyphrases
- convex optimization
- quadratic optimization problems
- convex formulation
- convex functions
- image restoration and reconstruction
- risk minimization
- norm minimization
- minimization problems
- augmented lagrangian
- penalty functions
- objective function
- augmented lagrangian method
- global optimization
- globally convergent
- strictly convex
- stationary points
- convex sets
- total variation
- convex relaxation
- helmholtz principle
- convex hull
- alternating direction method of multipliers
- cost function
- bregman divergences
- optimal kernel
- convex programming
- nonlinear programming
- variational inequalities
- data dependent
- regularization parameter
- low rank
- optimization problems
- convex optimization problems
- quadratic program
- image processing
- interior point methods
- rank minimization
- parameter selection
- regularization term
- sparsity inducing
- image segmentation