Convergence and Sample Complexity of SGD in GANs.
Vasilis KontonisSihan LiuChristos TzamosPublished in: CoRR (2020)
Keyphrases
- sample complexity
- theoretical analysis
- pac learning
- upper bound
- learning problems
- learning algorithm
- generalization error
- special case
- active learning
- vc dimension
- supervised learning
- lower bound
- training examples
- pac learnability
- concept classes
- covering numbers
- uniform convergence
- convergence rate
- number of irrelevant features
- sample complexity bounds
- machine learning
- average case
- convergence speed
- learning tasks
- sample size
- objective function
- support vector
- stochastic gradient descent
- noisy data
- feature space
- prior knowledge