Approximation bounds for norm constrained neural networks with applications to regression and GANs.
Yuling JiaoYang WangYunfei YangPublished in: CoRR (2022)
Keyphrases
- neural network
- error bounds
- lp norm
- error tolerance
- stage stochastic programs
- regression model
- upper bound
- sum of squared errors
- expected error
- approximation methods
- linear regression
- convex functions
- neural network model
- lower bound
- pattern recognition
- back propagation
- least squares
- regression analysis
- artificial neural networks
- recurrent neural networks
- rate distortion theory
- support vector regression
- constant factor
- fuzzy logic
- genetic algorithm
- training process
- worst case
- support vector
- regression problems
- upper and lower bounds
- gaussian processes
- low rank approximation
- neural nets
- approximation algorithms
- multilayer perceptron
- objective function