Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG.
Yujia JinAaron SidfordPublished in: NeurIPS (2019)
Keyphrases
- principal components
- principal component regression
- null space
- partial least squares
- principal component analysis
- maximum variance
- dimensionality reduction
- multivariate data
- regression model
- kernel space
- principal components analysis
- regression analysis
- support vector regression
- worst case
- correlation coefficient
- regression algorithm
- linear regression
- model selection
- feature set
- machine learning
- hyperplane
- regression problems
- neural network
- discriminant analysis
- regression methods
- similarity measure
- principal curves
- face recognition
- computer vision