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Support recovery without incoherence: A case for nonconvex
  regularization

Support recovery without incoherence: A case for nonconvex regularization

17 December 2014
Po-Ling Loh
Martin J. Wainwright
ArXivPDFHTML

Papers citing "Support recovery without incoherence: A case for nonconvex regularization"

7 / 7 papers shown
Title
Generalized Precision Matrix for Scalable Estimation of Nonparametric
  Markov Networks
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
Yujia Zheng
Ignavier Ng
Yewen Fan
Kun Zhang
9
4
0
19 May 2023
High-dimensional nonconvex lasso-type $M$-estimators
High-dimensional nonconvex lasso-type MMM-estimators
Jad Beyhum
Franccois Portier
11
0
0
12 Apr 2022
High-Dimensional Feature Selection for Sample Efficient Treatment Effect
  Estimation
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
Kristjan Greenewald
Dmitriy A. Katz-Rogozhnikov
Karthikeyan Shanmugam
CML
29
9
0
03 Nov 2020
Support estimation in high-dimensional heteroscedastic mean regression
Support estimation in high-dimensional heteroscedastic mean regression
P. Hermann
H. Holzmann
13
0
0
03 Nov 2020
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial
  Optimization Algorithms
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
Hussein Hazimeh
Rahul Mazumder
17
180
0
05 Mar 2018
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
28
202
0
26 Apr 2015
Statistical consistency and asymptotic normality for high-dimensional
  robust M-estimators
Statistical consistency and asymptotic normality for high-dimensional robust M-estimators
Po-Ling Loh
27
191
0
01 Jan 2015
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