A Selective Review of Group Selection in High-Dimensional Models

29 April 2012

Papers citing "A Selective Review of Group Selection in High-Dimensional Models"

20 / 20 papers shown

Title
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties Reza Mirzaeifard Diyako Ghaderyan Stefan Werner 36 2 0 02 Aug 2024
Group Spike and Slab Variational Bayes M. Komodromos Marina Evangelou Sarah Filippi Kolyan Ray 25 2 0 19 Sep 2023
Constrained Optimization of Rank-One Functions with Indicator Variables Soroosh Shafieezadeh-Abadeh Fatma Kılınç Karzan 21 4 0 31 Mar 2023
Unbiased estimation and asymptotically valid inference in multivariable Mendelian randomization with many weak instrumental variables Yihe Yang Noah Lorincz-Comi Xiaolin Zhu 17 1 0 12 Jan 2023
A Splicing Approach to Best Subset of Groups Selection Yanhang Zhang Junxian Zhu Jin Zhu Xueqin Wang 18 18 0 23 Apr 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 32 27 0 14 Apr 2021
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors Rui Jin Aixin Tan 24 8 0 16 Mar 2019
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models Gen Li Xiaokang Liu Kun Chen 24 6 0 26 Jul 2018
An Interactive Greedy Approach to Group Sparsity in High Dimensions Wei Qian Wending Li Yasuhiro Sogawa R. Fujimaki Xitong Yang Ji Liu 11 7 0 10 Jul 2017
Data Integration with High Dimensionality Xin Gao R. Carroll 19 30 0 03 Oct 2016
Adaptive Fused LASSO in Grouped Quantile Regression Gabriela Ciuperca 16 13 0 19 Jul 2016
Variable selection and structure identification for varying coefficient Cox models Toshio Honda Ryota Yabe 27 9 0 19 Jul 2016
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 19 42 0 29 Nov 2015
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection Hongbo Dong Kun Chen Jeff T. Linderoth 39 59 0 20 Oct 2015
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 42 46 0 13 Dec 2014
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors P. Breheny Jian Huang 100 280 0 10 Sep 2012
Efficient Sparse Group Feature Selection via Nonconvex Optimization Shuo Xiang Xiao Tong Jieping Ye 58 57 0 23 May 2012
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 125 379 0 11 Jul 2010
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 195 481 0 25 Jun 2008