Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration.
Kwang-Sung JunAshok CutkoskyFrancesco OrabonaPublished in: NeurIPS (2019)
Keyphrases
- ridge regression
- kernel regression
- pseudo inverse
- regression methods
- linear regression
- ordinary least squares
- support vector
- regression method
- support vector machine
- noise reduction
- active learning
- missing data
- noisy images
- regression analysis
- machine learning
- discriminant analysis
- kernel methods
- test set
- em algorithm
- learning algorithm