We introduce a new method – the group Dantzig selector – for high dimensional sparse regression with group structure, which has a convincing theory about ...
In this paper, we introduce a novel sparse learning method which can also take advantage of the group structure. Our method is called the group Dantzig se-.
A new method is introduced, the group Dantzig selector, which has a convincing theory about why utilizing the group structure can be benecial and is easily ...
Dec 1, 2010 · We introduce a new method - the group Dantzig selector - for high dimensional sparse regression with group structure, which has a convincing ...
We introduce a new method - the group Dantzig selector - for high dimensional sparse regression with group structure, which has a convincing theory about ...
Dive into the research topics of 'The group Dantzig selector'. Together they form a unique fingerprint. Sort by; Weight · Alphabetically. Keyphrases.
One promising fact is that the Dantzig selector solves a linear program, usually faster than the existing methods. In addition, the authors establish that, ...
The Dantzig selector provides us new insight on high dimensional model selection. Clearly, there is much work ahead of us. This paper opens a new area and will ...
The Dantzig variable selector has recently emerged as a powerful tool for fitting regularized regression models. A key advantage is that it does not pertain ...
Dantzig Selector (DS) is widely used in com- pressed sensing and sparse learning for feature selection and sparse signal recovery. Since the.