Strong rules for discarding predictors in lasso-type problems

9 November 2010

Papers citing "Strong rules for discarding predictors in lasso-type problems"

30 / 30 papers shown

Title
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1) Jing Bi Susan Liang Xiaofei Zhou Pinxin Liu Junjia Guo ... C. Chen Lianggong Wen Zhang Liu Jiebo Luo Chenliang Xu LRM 30 2 0 04 Apr 2025
Strong Screening Rules for Group-based SLOPE Models Fabio Feser Marina Evangelou 50 1 0 24 May 2024
HiQR: An efficient algorithm for high-dimensional quadratic regression with penalties Cheng-Long Wang Hao Chen Binyan Jiang 11 0 0 01 Jun 2023
Locally Simultaneous Inference Tijana Zrnic William Fithian 24 4 0 18 Dec 2022
Continuation Path with Linear Convergence Rate Eugène Ndiaye Ichiro Takeuchi 26 4 0 09 Dec 2021
Safe rules for the identification of zeros in the solutions of the SLOPE problem Clément Elvira Cédric Herzet 31 9 0 22 Oct 2021
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model Liao Zhu R. Jarrow M. Wells 14 14 0 09 Nov 2020
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python J. Ge Xingguo Li Haoming Jiang Han Liu Tong Zhang Mengdi Wang T. Zhao 10 34 0 27 Jun 2020
Screening Rules for Lasso with Non-Convex Sparse Regularizers A. Rakotomamonjy Gilles Gasso Joseph Salmon 14 24 0 16 Feb 2019
Simultaneous prediction of multiple outcomes using revised stacking algorithms Li Xing M. Lesperance Xuekui Zhang 9 27 0 29 Jan 2019
Tuning parameter selection rules for nuclear norm regularized multivariate linear regression Pan Shang Lingchen Kong 18 1 0 19 Jan 2019
Stable safe screening and structured dictionaries for faster L1 regularization C. Dantas Rémi Gribonval 31 5 0 17 Dec 2018
Principal component-guided sparse regression J. K. Tay J. Friedman Robert Tibshirani 9 16 0 10 Oct 2018
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model Liao Zhu Sumanta Basu R. Jarrow M. Wells 14 23 0 23 Apr 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 17 180 0 05 Mar 2018
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models Marine Le Morvan Jean-Philippe Vert 26 17 0 16 Feb 2018
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression Mathurin Massias Olivier Fercoq Alexandre Gramfort Joseph Salmon 26 23 0 27 May 2017
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression Qingyang Li Dajiang Zhu Jie Zhang D. Hibar N. Jahanshad Yalin Wang Jieping Ye P. Thompson Jie Wang 8 5 0 27 Apr 2017
$$\ell_1$ Adaptive Trend Filter via Fast Coordinate Descent$ $\ell_1$ Adaptive Trend Filter via Fast Coordinate Descent Mario Souto J. Garcia G. Amaral 19 5 0 11 Mar 2016
Successive Ray Refinement and Its Application to Coordinate Descent for LASSO Jun Liu Zheng Zhao Ruiwen Zhang 23 0 0 17 Dec 2015
Generalized Additive Model Selection Alexandra Chouldechova Trevor Hastie 33 80 0 11 Jun 2015
GAP Safe screening rules for sparse multi-task and multi-class models Eugène Ndiaye Olivier Fercoq Alexandre Gramfort Joseph Salmon 28 80 0 11 Jun 2015
Mind the duality gap: safer rules for the Lasso Olivier Fercoq Alexandre Gramfort Joseph Salmon 36 138 0 13 May 2015
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 32 46 0 23 Dec 2014
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso Antoine Bonnefoy Valentin Emiya L. Ralaivola Rémi Gribonval 30 86 0 12 Dec 2014
Screening Rules for Overlapping Group Lasso Seunghak Lee Eric P. Xing 21 16 0 25 Oct 2014
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation Binbin Lin Qingyang Li Qian Sun M. Lai Ian Davidson Wei Fan Jieping Ye 41 40 0 30 Jul 2014
Screening Tests for Lasso Problems Z. Xiang Yun Wang Peter J. Ramadge 32 108 0 19 May 2014
A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression N. Simon J. Friedman Trevor Hastie 36 89 0 26 Nov 2013
Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation Zhilin Zhang Bhaskar D. Rao 23 497 0 04 Jan 2012