ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1503.03188
  4. Cited By
Optimal prediction for sparse linear models? Lower bounds for
  coordinate-separable M-estimators

Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators

11 March 2015
Yuchen Zhang
Martin J. Wainwright
Michael I. Jordan
ArXivPDFHTML

Papers citing "Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators"

5 / 5 papers shown
Title
Grouped Variable Selection with Discrete Optimization: Computational and
  Statistical Perspectives
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
Hussein Hazimeh
Rahul Mazumder
P. Radchenko
37
27
0
14 Apr 2021
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is
  low
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low
Rahul Mazumder
P. Radchenko
Antoine Dedieu
15
57
0
10 Aug 2017
Approximate $l_0$-penalized estimation of piecewise-constant signals on
  graphs
Approximate l0l_0l0​-penalized estimation of piecewise-constant signals on graphs
Z. Fan
Leying Guan
31
21
0
04 Mar 2017
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Minwoo Chae
Lizhen Lin
David B. Dunson
33
15
0
06 Aug 2016
Support recovery without incoherence: A case for nonconvex
  regularization
Support recovery without incoherence: A case for nonconvex regularization
Po-Ling Loh
Martin J. Wainwright
42
166
0
17 Dec 2014
1