Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization.
Meisam RazaviyaynMingyi HongZhi-Quan LuoJong-Shi PangPublished in: NIPS (2014)
Keyphrases
- convex functions
- globally convergent
- image restoration and reconstruction
- convex programming
- variational inequalities
- quasiconvex
- optimization problems
- convex optimization
- autocalibration
- global optimization
- alternating direction method of multipliers
- convex sets
- nonlinear programming
- line search
- global convergence
- augmented lagrangian
- newton method
- stationary points
- linear program
- objective function
- mathematical programming
- constrained optimization
- shared memory
- global optimality
- risk minimization
- convex optimization problems
- optimization algorithm
- convex relaxation
- quadratic optimization problems
- piecewise linear
- quadratic program
- approximation methods
- approximation algorithms
- total variation
- semidefinite
- primal dual
- optimization methods
- semi definite programming
- parallel processing
- optimization method
- markov random field