Easing non-convex optimization with neural networks.
David Lopez-PazLevent SagunPublished in: ICLR (Workshop) (2018)
Keyphrases
- convex optimization
- neural network
- low rank
- convex programming
- interior point methods
- convex relaxation
- total variation
- primal dual
- norm minimization
- genetic algorithm
- augmented lagrangian
- high resolution
- linear programming
- object recognition
- high quality
- computer vision
- convex constraints
- convex formulation
- semidefinite program
- alternating direction method of multipliers