Sparse Power Factorization: Balancing peakiness and sample complexity.
Jakob GeppertFelix KrahmerDominik StögerPublished in: CoRR (2018)
Keyphrases
- sample complexity
- theoretical analysis
- learning problems
- pac learning
- upper bound
- vc dimension
- special case
- learning algorithm
- generalization error
- lower bound
- supervised learning
- active learning
- sample size
- pac learnability
- training examples
- concept classes
- covering numbers
- sample complexity bounds
- machine learning
- number of irrelevant features
- uniform convergence
- irrelevant features
- optimal solution
- matrix factorization
- high dimensional