Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach.
Diogo LavadoCláudia SoaresAlessandra MichelettiPublished in: CoRR (2023)
Keyphrases
- augmented lagrangian
- constrained optimization
- neural network
- linear programming problems
- constrained optimization problems
- lagrange multipliers
- convex optimization
- duality gap
- total variation
- inequality constraints
- genetic algorithm
- linear program
- image denoising
- artificial neural networks
- partial differential equations
- linear programming
- primal dual
- penalty function
- higher order
- denoising
- wavelet transform
- search space
- computer vision