Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks.
Mert PilanciTolga ErgenPublished in: ICML (2020)
Keyphrases
- convex optimization
- convex formulation
- neural network
- total variation
- convex relaxation
- convex optimization problems
- convex programming
- low rank
- interior point methods
- denoising
- image restoration
- norm minimization
- convex constraints
- primal dual
- special case
- image denoising
- linear combination
- operator splitting
- convex sets
- augmented lagrangian
- approximation algorithms
- alternating direction method of multipliers
- regularization term
- minimization problems
- semi definite programming
- potts model
- semidefinite program