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. 1510.07294
  4. Cited By
High dimensional regression and matrix estimation without tuning
  parameters

High dimensional regression and matrix estimation without tuning parameters

25 October 2015
S. Chatterjee
ArXivPDFHTML

Papers citing "High dimensional regression and matrix estimation without tuning parameters"

4 / 4 papers shown
Title
On cross-validated Lasso in high dimensions
On cross-validated Lasso in high dimensions
Denis Chetverikov
Z. Liao
Victor Chernozhukov
21
80
0
07 May 2016
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
65
145
0
29 Mar 2015
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
107
160
0
17 Jan 2013
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
750
0
04 Apr 2008
1