Approximation bounds for norm constrained neural networks with applications to regression and GANs.

Yuling Jiao Yang Wang Yunfei Yang

Published 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