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Consistent selection of tuning parameters via variable selection
  stability
v1v2 (latest)

Consistent selection of tuning parameters via variable selection stability

Journal of machine learning research (JMLR), 2012
16 August 2012
Wei Sun
Junhui Wang
Yixin Fang
ArXiv (abs)PDFHTML

Papers citing "Consistent selection of tuning parameters via variable selection stability"

15 / 15 papers shown
A Stable Lasso
A Stable Lasso
Mahdi Nouraie
Houying Zhu
Samuel Muller
218
1
0
04 Nov 2025
Stability Selection via Variable Decorrelation
Stability Selection via Variable Decorrelation
Mahdi Nouraie
Connor Smith
Samuel Muller
221
2
0
27 May 2025
Generalized Sparse Additive Model with Unknown Link Function
Generalized Sparse Additive Model with Unknown Link FunctionIndustrial Conference on Data Mining (IDM), 2024
Peipei Yuan
Xinge You
Hao Chen
Xuelin Zhang
Qinmu Peng
440
2
0
08 Oct 2024
Robustness of Algorithms for Causal Structure Learning to Hyperparameter
  Choice
Robustness of Algorithms for Causal Structure Learning to Hyperparameter ChoiceCLEaR (CLEaR), 2023
Damian Machlanski
Spyridon Samothrakis
Paul Clarke
CML
308
4
0
27 Oct 2023
Nonparametric augmented probability weighting with sparsity
Nonparametric augmented probability weighting with sparsityComputational Statistics & Data Analysis (CSDA), 2022
Xin He
Xiaojun Mao
Zhonglei Wang
311
0
0
28 Sep 2022
Efficient Learning of Quadratic Variance Function Directed Acyclic
  Graphs via Topological Layers
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological LayersJournal of Computational And Graphical Statistics (JCGS), 2021
Wei Zhou
Xin He
Wei Zhong
Junhui Wang
CML
244
4
0
01 Nov 2021
Interpretable Models for Granger Causality Using Self-explaining Neural
  Networks
Interpretable Models for Granger Causality Using Self-explaining Neural NetworksInternational Conference on Learning Representations (ICLR), 2021
Ricards Marcinkevics
Julia E. Vogt
MILMCML
265
82
0
19 Jan 2021
Automated Hyperparameter Selection for the PC Algorithm
Automated Hyperparameter Selection for the PC Algorithm
Eric V. Strobl
239
3
0
03 Nov 2020
Structure learning via unstructured kernel-based M-regression
Structure learning via unstructured kernel-based M-regression
Xin He
Yeheng Ge
Xingdong Feng
371
0
0
03 Jan 2019
Efficient kernel-based variable selection with sparsistency
Efficient kernel-based variable selection with sparsistency
Xin He
Junhui Wang
Shaogao Lv
371
7
0
26 Feb 2018
Regularized Ordinal Regression and the ordinalNet R Package
Regularized Ordinal Regression and the ordinalNet R Package
Mike Wurm
P. Rathouz
B. Hanlon
309
95
0
15 Jun 2017
Stability Enhanced Large-Margin Classifier Selection
Stability Enhanced Large-Margin Classifier Selection
W. Sun
Guang Cheng
Yufeng Liu
112
2
0
20 Jan 2017
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG
  source reconstruction
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
D. Strohmeier
Y. Bekhti
J. Haueisen
Alexandre Gramfort
170
41
0
28 Jul 2016
Stabilized Sparse Online Learning for Sparse Data
Stabilized Sparse Online Learning for Sparse Data
Yuting Ma
Tian Zheng
288
16
0
21 Apr 2016
Provable Sparse Tensor Decomposition
Provable Sparse Tensor Decomposition
W. Sun
Junwei Lu
Han Liu
Guang Cheng
442
131
0
05 Feb 2015
1
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