Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems

21 September 2010

Papers citing "Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems"

8 / 8 papers shown

Title
Locally Simultaneous Inference Tijana Zrnic William Fithian 22 4 0 18 Dec 2022
Stochastic Mirror Descent for Large-Scale Sparse Recovery Sasila Ilandarideva Yannis Bekri A. Juditsky Vianney Perchet 15 1 0 23 Oct 2022
Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material Thu-Le Tran Clément Elvira Hong-Phuong Dang Cédric Herzet 14 3 0 02 Mar 2022
Safe Sample Screening for Robust Support Vector Machine Zhou Zhai Bin Gu Xiang Li Heng-Chiao Huang 15 22 0 24 Dec 2019
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression Mahsa Taheri Néhémy Lim Johannes Lederer 11 3 0 23 Sep 2016
Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions Qingyang Li Tao Yang Liang Zhan D. Hibar N. Jahanshad Yalin Wang Jieping Ye P. Thompson Jie Wang 12 8 0 19 Aug 2016
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 Tests for Lasso Problems Z. Xiang Yun Wang Peter J. Ramadge 32 108 0 19 May 2014