Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient.
Tianyi LinChengyou FanMengdi WangMichael I. JordanPublished in: ACC (2020)
Keyphrases
- sample complexity
- theoretical analysis
- pac learning
- vc dimension
- learning problems
- upper bound
- learning algorithm
- special case
- active learning
- lower bound
- supervised learning
- generalization error
- pac learnability
- covering numbers
- concept classes
- sample size
- data mining
- feature extraction
- dynamic programming
- machine learning
- sample complexity bounds
- uniform convergence
- training examples