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Multi-task Learning for Gaussian Graphical Regressions with High
  Dimensional Covariates

Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates

21 May 2022
Jingfei Zhang
Yi Li
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Papers citing "Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates"

4 / 4 papers shown
Title
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and
  Statistical Inference
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
T. Tony Cai
Anru R. Zhang
Yuchen Zhou
29
25
0
21 Sep 2019
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
364
1,378
0
13 Oct 2010
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
253
382
0
11 Jul 2010
Smoothing proximal gradient method for general structured sparse
  regression
Smoothing proximal gradient method for general structured sparse regression
Xinyu Chen
Qihang Lin
Seyoung Kim
J. Carbonell
Eric Xing
147
233
0
26 May 2010
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