ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1307.4765
  4. Cited By
Adaptive testing for the graphical lasso
v1v2 (latest)

Adaptive testing for the graphical lasso

17 July 2013
M. G'Sell
Jonathan E. Taylor
Robert Tibshirani
ArXiv (abs)PDFHTML

Papers citing "Adaptive testing for the graphical lasso"

11 / 11 papers shown
Simple and Scalable Algorithms for Cluster-Aware Precision Medicine
Simple and Scalable Algorithms for Cluster-Aware Precision MedicineInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Amanda M. Buch
C. Liston
L. Grosenick
434
2
0
29 Nov 2022
On confidence intervals for precision matrices and the
  eigendecomposition of covariance matrices
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices
Teodora Popordanoska
A. Tiulpin
Wacha Bounliphone
Matthew B. Blaschko
271
0
0
25 Aug 2022
Group Invariance and Computational Sufficiency
Group Invariance and Computational Sufficiency
Vincent Q. Vu
246
1
0
16 Jul 2018
Semi-Analytic Resampling in Lasso
Semi-Analytic Resampling in LassoJournal of machine learning research (JMLR), 2018
T. Obuchi
Y. Kabashima
351
9
0
28 Feb 2018
A U-statistic Approach to Hypothesis Testing for Structure Discovery in
  Undirected Graphical Models
A U-statistic Approach to Hypothesis Testing for Structure Discovery in Undirected Graphical Models
Wacha Bounliphone
Matthew Blaschko
141
0
0
06 Apr 2016
Testing for Differences in Gaussian Graphical Models: Applications to
  Brain Connectivity
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
Eugene Belilovsky
Gaël Varoquaux
Matthew B. Blaschko
418
70
0
29 Dec 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary,
  General Approach
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Victor Chernozhukov
Christian B. Hansen
Martin Spindler
609
185
0
14 Jan 2015
A General Framework for Robust Testing and Confidence Regions in
  High-Dimensional Quantile Regression
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao
Mladen Kolar
Han Liu
307
45
0
30 Dec 2014
Optimal Inference After Model Selection
Optimal Inference After Model Selection
William Fithian
Dennis L. Sun
Jonathan E. Taylor
682
363
0
09 Oct 2014
Sequential Selection Procedures and False Discovery Rate Control
Sequential Selection Procedures and False Discovery Rate Control
M. G'Sell
Stefan Wager
Alexandra Chouldechova
Robert Tibshirani
513
175
0
20 Sep 2013
A significance test for the lasso
A significance test for the lassoAnnals of Statistics (AoS), 2013
R. Lockhart
Jonathan E. Taylor
Robert Tibshirani
Robert Tibshirani
556
675
0
30 Jan 2013
1
Page 1 of 1