Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization.
Daniel KuelbsSanjay LallMert PilanciPublished in: CoRR (2024)
Keyphrases
- convex optimization
- structured prediction
- low rank
- total variation
- interior point methods
- primal dual
- convex optimization problems
- convex relaxation
- norm minimization
- convex formulation
- linear combination
- semidefinite program
- semi definite programming
- augmented lagrangian method
- basis pursuit
- evolutionary algorithm
- operator splitting
- image denoising
- image restoration
- super resolution
- linear programming
- supervised learning
- high resolution