Risk bounds for aggregated shallow neural networks using Gaussian priors.
Laura TinsiArnak S. DalalyanPublished in: COLT (2022)
Keyphrases
- risk bounds
- neural network
- data dependent
- empirical risk minimization
- learning algorithm
- stochastic processes
- statistical learning theory
- back propagation
- vc dimension
- heavy tailed
- information extraction
- bayesian framework
- parameter free
- soft computing
- supervised classification
- maximum likelihood
- objective function