Scaling Convex Neural Networks with Burer-Monteiro Factorization.
Arda SahinerTolga ErgenBatu OzturklerJohn M. PaulyMorteza MardaniMert PilanciPublished in: ICLR (2024)
Keyphrases
- neural network
- back propagation
- pattern recognition
- artificial neural networks
- neural network model
- fuzzy logic
- singular value decomposition
- kronecker product
- multi layer
- convex optimization
- non rigid structure from motion
- convex sets
- piecewise linear
- neural nets
- matrix factorization
- feed forward
- convex hull
- pairwise
- genetic algorithm
- multilayer perceptron
- fuzzy systems
- training process
- sufficient conditions
- multi layer perceptron
- activation function
- denoising
- competitive learning
- risk minimization