69 citations · 69 across the 3 of their papers we have counts for
3 papers
cs.LG2015
Successive Ray Refinement and Its Application to Coordinate Descent for LASSO
Jun Liu, Zheng Zhao, Ruiwen Zhang
Coordinate descent is one of the most popular approaches for solving Lasso and its extensions due to its simplicity and efficiency. When applying coordinate descent to solving Lass…
cs.LG2013
Safe and Efficient Screening For Sparse Support Vector Machine
Zheng Zhao, Jun Liu
Screening is an effective technique for speeding up the training process of a sparse learning model by removing the features that are guaranteed to be inactive the process. In this…
cs.LG2013★ 69 cited
Safe Screening With Variational Inequalities and Its Application to LASSO
Jun Liu, Zheng Zhao, Jie Wang +1
Sparse learning techniques have been routinely used for feature selection as the resulting model usually has a small number of non-zero entries. Safe screening, which eliminates th…