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Revisiting Marginal Regression

Revisiting Marginal Regression

Christopher R. Genovese
Jiashun Jin
Larry A. Wasserman
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Papers citing "Revisiting Marginal Regression"

7 / 7 papers shown
Title
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
Akshay Soni
Jarvis Haupt
118
22
0
18 Jun 2013
Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization
Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization
M. Slawski
Matthias Hein
129
187
0
04 May 2012
Optimality of Graphlet Screening in High Dimensional Variable Selection
Optimality of Graphlet Screening in High Dimensional Variable Selection
Jiashun Jin
Cun-Hui Zhang
Qi Zhang
125
45
0
29 Apr 2012
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries
Akshay Soni
Jarvis Haupt
77
23
0
29 Nov 2011
UPS delivers optimal phase diagram in high-dimensional variable selection
UPS delivers optimal phase diagram in high-dimensional variable selection
Pengsheng Ji
Jiashun Jin
366
93
0
25 Oct 2010
Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection
Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection
W. Bajwa
Robert Calderbank
Sina Jafarpour
75
101
0
03 Jun 2010
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
Jarvis Haupt
R. Castro
Robert D. Nowak
151
154
0
29 Jan 2010