Safeguarded Learned Convex Optimization.
Howard HeatonXiaohan ChenZhangyang WangWotao YinPublished in: AAAI (2023)
Keyphrases
- convex optimization
- interior point methods
- total variation
- convex programming
- convex relaxation
- primal dual
- semidefinite program
- low rank
- convex optimization problems
- operator splitting
- norm minimization
- augmented lagrangian
- feature selection
- optimization problems
- object recognition
- low rank matrix
- convex constraints
- basis pursuit
- multiscale
- alternating direction method of multipliers