Generalization Error of Graph Neural Networks in the Mean-field Regime.
Gholamali AminianYixuan HeGesine ReinertLukasz SzpruchSamuel N. CohenPublished in: CoRR (2024)
Keyphrases
- generalization error
- neural network
- model selection
- cross validation
- upper bound
- active learning
- binary classification
- learning algorithm
- training data
- training set
- classification error
- sample complexity
- linear classifiers
- supervised learning
- sample size
- target function
- training error
- generalization error bounds
- learning machines
- training process
- subspace information criterion
- fuzzy logic
- conditional expectation
- markov networks
- markov random field
- learning environment
- training algorithm
- multilayer perceptron
- neural network model
- data sets
- back propagation
- bayesian inference
- bayesian networks
- boosting algorithms
- special case
- lower bound
- reinforcement learning