Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration.

Kwang-Sung Jun Ashok Cutkosky Francesco Orabona

Published in: CoRR (2019)

Keyphrases

ridge regression
linear regression
support vector machine
pseudo inverse
regression methods
kernel regression
kernel function
noise level
ordinary least squares
support vector
feature space
closed form
machine learning
learning algorithm
least squares
missing data