19 citations · 37 across the 3 of their papers we have counts for
3 papers
stat.ML2012★ 11 cited
On pattern recovery of the fused Lasso
Junyang Qian, Jinzhu Jia
We study the property of the Fused Lasso Signal Approximator (FLSA) for estimating a blocky signal sequence with additive noise. We transform the FLSA to an ordinary Lasso problem.…
math.ST2012★ 19 cited
Preconditioning to comply with the Irrepresentable Condition
Jinzhu Jia, Karl Rohe
Preconditioning is a technique from numerical linear algebra that can accelerate algorithms to solve systems of equations. In this paper, we demonstrate how preconditioning can cir…
stat.ML2010★ 7 cited
The Lasso under Heteroscedasticity
Jinzhu Jia, Karl Rohe, Bin Yu
The performance of the Lasso is well understood under the assumptions of the standard linear model with homoscedastic noise. However, in several applications, the standard model do…