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On Iterative Hard Thresholding Methods for High-dimensional M-Estimation

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation

20 October 2014
Prateek Jain
Ambuj Tewari
Purushottam Kar
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Papers citing "On Iterative Hard Thresholding Methods for High-dimensional M-Estimation"

15 / 15 papers shown
Title
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Saptarshi Roy
Ambuj Tewari
Ziwei Zhu
93
0
0
16 Jan 2023
Lower bounds on the performance of polynomial-time algorithms for sparse
  linear regression
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression
Yuchen Zhang
Martin J. Wainwright
Michael I. Jordan
108
130
0
09 Feb 2014
Forward-Backward Greedy Algorithms for General Convex Smooth Functions
  over A Cardinality Constraint
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu
R. Fujimaki
Jieping Ye
58
45
0
31 Dec 2013
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
Xiao-Tong Yuan
Ping Li
Tong Zhang
119
113
0
22 Nov 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic
  theory for local optima
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh
Martin J. Wainwright
194
516
0
10 May 2013
Greedy Sparsity-Constrained Optimization
Greedy Sparsity-Constrained Optimization
S. Bahmani
Bhiksha Raj
P. Boufounos
76
197
0
25 Mar 2012
High-dimensional regression with noisy and missing data: Provable
  guarantees with nonconvexity
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
Po-Ling Loh
Martin J. Wainwright
97
560
0
16 Sep 2011
On Learning Discrete Graphical Models Using Greedy Methods
On Learning Discrete Graphical Models Using Greedy Methods
A. Jalali
Christopher C. Johnson
Pradeep Ravikumar
67
101
0
16 Jul 2011
Orthogonal Matching Pursuit with Replacement
Orthogonal Matching Pursuit with Replacement
Prateek Jain
Ambuj Tewari
Inderjit S. Dhillon
53
79
0
14 Jun 2011
Fast global convergence of gradient methods for high-dimensional
  statistical recovery
Fast global convergence of gradient methods for high-dimensional statistical recovery
Alekh Agarwal
S. Negahban
Martin J. Wainwright
89
242
0
25 Apr 2011
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
146
1,338
0
03 Dec 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
280
1,377
0
13 Oct 2010
Estimation of high-dimensional low-rank matrices
Estimation of high-dimensional low-rank matrices
Angelika Rohde
Alexandre B. Tsybakov
208
382
0
29 Dec 2009
Estimation of (near) low-rank matrices with noise and high-dimensional
  scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
175
569
0
27 Dec 2009
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
161
575
0
11 Oct 2009
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