Regression with Randomized Preconditioning.

Jiyan Yang Yinlam Chow Christopher Ré Michael W. Mahoney

Published in: SODA (2016)

Keyphrases

regression model
model selection
linear regression
gaussian processes
edge preserving
simple linear

polynomial regression
support vector regression
bundle adjustment
decision forest
regression algorithm

primal dual
regression methods
regression analysis
locally weighted
iterative methods

optical flow computation
machine learning
structure from motion
optimization problems
learning algorithm