Cubic Regularized ADMM with Convergence to a Local Minimum in Non-convex Optimization.
Zai ShiAtilla EryilmazPublished in: Allerton (2019)
Keyphrases
- convex optimization
- norm minimization
- alternating direction method of multipliers
- operator splitting
- total variation
- interior point methods
- low rank
- convex relaxation
- augmented lagrangian
- least squares
- augmented lagrangian method
- regularization methods
- primal dual
- convergence rate
- convex optimization problems
- low rank matrix
- basis pursuit
- semidefinite program
- object recognition
- regularization method
- interior point
- trace norm
- image denoising