Understanding Estimation and Generalization Error of Generative Adversarial Networks.
Kaiyi JiYi ZhouYingbin LiangPublished in: IEEE Trans. Inf. Theory (2021)
Keyphrases
- generalization error
- error estimation
- cross validation
- model selection
- active learning
- learning algorithm
- training set
- upper bound
- linear classifiers
- training data
- classification error
- unbiased estimator
- training error
- sample size
- sample complexity
- target function
- binary classification
- conditional expectation
- generative model
- perceptron learning
- generalization error bounds
- learning machines
- subspace information criterion
- boosting algorithms
- feature selection
- feature extraction
- neural network
- object detection