Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

10 September 2012

Papers citing "Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors"

35 / 35 papers shown

Title
fsemipar: an R package for SoF semiparametric regression Silvia Novo Germán Aneiros 25 0 0 22 May 2024
A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent James Yang Trevor Hastie 19 3 0 14 May 2024
Group COMBSS: Group Selection via Continuous Optimization Anant Mathur S. Moka Benoit Liquet Z. Botev 36 0 0 20 Apr 2024
Group Spike and Slab Variational Bayes M. Komodromos Marina Evangelou Sarah Filippi Kolyan Ray 25 2 0 19 Sep 2023
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models H. Heiling N. Rashid Quefeng Li Joseph G. Ibrahim 11 4 0 14 May 2023
Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects H. Heiling N. Rashid Quefeng Li X. Peng Jen Jen Yeh Joseph G. Ibrahim 9 4 0 14 May 2023
A minimax optimal approach to high-dimensional double sparse linear regression Yanhang Zhang Zhifan Li J. Yin 21 4 0 07 May 2023
Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis P. H. T. O. Sousa Camila P. E. de Souza Ronaldo Dias 20 0 0 06 Mar 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 31 4 0 02 Feb 2023
Simultaneous Factors Selection and Fusion of Their Levels in Penalized Logistic Regression Léa Kaufmann M. Kateri 15 0 0 20 Dec 2022
Improving Group Lasso for high-dimensional categorical data Szymon Nowakowski P. Pokarowski Wojciech Rejchel Agnieszka Sołtys 25 0 0 25 Oct 2022
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties Iain Carmichael T. Keefe Naomi Giertych Jonathan P. Williams 23 1 0 11 Oct 2021
Group selection and shrinkage: Structured sparsity for semiparametric additive models Ryan Thompson Farshid Vahid 16 1 0 25 May 2021
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
Scalable algorithms for semiparametric accelerated failure time models in high dimensions P. Suder Aaron J. Molstad 14 7 0 04 Apr 2021
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning Yuan Luo Chengsheng Mao MedIm 15 12 0 15 Dec 2020
Approximate Laplace approximations for scalable model selection D. Rossell Oriol Abril A. Bhattacharya 16 15 0 14 Dec 2020
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure Tudor Manole Abbas Khalili 27 19 0 24 May 2020
Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods Jiacong Du Jonathan Boss Peisong Han Lauren J. Beesley Stephen A. Goutman S. Batterman E. Feldman B. Mukherjee 6 26 0 16 Mar 2020
Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties B. Stokell Rajen Dinesh Shah R. Tibshirani 10 17 0 28 Feb 2020
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models Jian Huang Yuling Jiao Lican Kang Jin Liu Yanyan Liu Xiliang Lu 24 0 0 16 Jan 2020
A global approach for learning sparse Ising models D. Canditiis 11 3 0 26 Jun 2019
Algorithmic Bayesian Group Gibbs Selection Alan B. Lenarcic W. Valdar 9 0 0 09 Jan 2019
Principal component-guided sparse regression J. K. Tay J. Friedman Robert Tibshirani 11 16 0 10 Oct 2018
GEP-MSCRA for computing the group zero-norm regularized least squares estimator Shujun Bi S. Pan 11 1 0 26 Apr 2018
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning Yueyong Shi Jian Huang Yuling Jiao Qinglong Yang 36 4 0 24 Feb 2018
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package J. Huling Peter Chien 16 10 0 29 Jan 2018
Sparse quadratic classification rules via linear dimension reduction Irina Gaynanova Tianying Wang 21 12 0 13 Nov 2017
Hybrid safe-strong rules for efficient optimization in lasso-type problems Yaohui Zeng Tianbao Yang P. Breheny 9 7 0 27 Apr 2017
Data Integration with High Dimensionality Xin Gao R. Carroll 19 30 0 03 Oct 2016
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers Sami Remes Tommi Mononen Samuel Kaski 16 5 0 17 Dec 2015
Uncertainty Quantification Under Group Sparsity Qing Zhou Seunghyun Min 14 3 0 05 Jul 2015
High-dimensional Ordinary Least-squares Projection for Screening Variables Xiangyu Wang Chenlei Leng 32 125 0 05 Jun 2015
Group Factor Analysis Arto Klami S. Virtanen Eemeli Leppaaho Samuel Kaski CML 11 109 0 21 Nov 2014