Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes.
Cheolmin KimDiego KlabjanPublished in: AISTATS (2020)
Keyphrases
- learning algorithm
- computational cost
- times faster
- optimization problems
- data structure
- computational complexity
- significant improvement
- computationally expensive
- worst case
- online algorithms
- principal components analysis
- covariance matrix
- benchmark datasets
- machine learning algorithms
- computer vision
- data mining
- feature extraction
- face recognition
- feature selection