Convex Optimization of Deep Polynomial and ReLU Activation Neural Networks.
Burak BartanMert PilanciPublished in: ICASSP (2023)
Keyphrases
- convex optimization
- neural network
- interior point methods
- low rank
- primal dual
- total variation
- convex relaxation
- convex optimization problems
- augmented lagrangian
- alternating direction method of multipliers
- semidefinite program
- wavelet transform
- support vector machine
- high quality
- low rank matrix
- feature extraction
- computer vision