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Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph
  Recovery
v1v2 (latest)

Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery

1 May 2020
M. Laszkiewicz
Asja Fischer
Johannes Lederer
ArXiv (abs)PDFHTML

Papers citing "Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery"

3 / 3 papers shown
Title
An Approximation Based Theory of Linear Regression
An Approximation Based Theory of Linear Regression
Laurie Davies
36
0
0
15 Feb 2024
Extremes in High Dimensions: Methods and Scalable Algorithms
Extremes in High Dimensions: Methods and Scalable Algorithms
Johannes Lederer
M. Oesting
48
10
0
07 Mar 2023
Balancing Statistical and Computational Precision: A General Theory and
  Applications to Sparse Regression
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression
Mahsa Taheri
Néhémy Lim
Johannes Lederer
59
4
0
23 Sep 2016
1