100 citations · 105 across the 3 of their papers we have counts for
4 papers
The Symmetry of a Simple Optimization Problem in Lasso Screening
Yun Wang, Peter J. Ramadge
Recently dictionary screening has been proposed as an effective way to improve the computational efficiency of solving the lasso problem, which is one of the most commonly used met…
Feedback-Controlled Sequential Lasso Screening
Yun Wang, Xu Chen, Peter J. Ramadge
One way to solve lasso problems when the dictionary does not fit into available memory is to first screen the dictionary to remove unneeded features. Prior research has shown that…
Screening Tests for Lasso Problems
Zhen James Xiang, Yun Wang, Peter J. Ramadge
This paper is a survey of dictionary screening for the lasso problem. The lasso problem seeks a sparse linear combination of the columns of a dictionary to best match a given targe…
Unsupervised Feature Learning by Deep Sparse Coding
Yunlong He, Koray Kavukcuoglu, Yun Wang +2
In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual obj…