l1-norm Penalized Orthogonal Forward Regression

Xia Hong, Sheng Chen, Yi Guo, Junbin Gao

Type: Preprint

Publication Date: 2015-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1509.01323

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization	2004	Sheng Chen Xia Hong C.J. Harris Paul Sharkey
+ PDF Chat	Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis	2016	Young Woong Park Diego Klabjan
+	Least squares optimization with L1-norm regularization	2017	Henrietta Nkansah
+ PDF Chat	Robust feature selection via l2,1-norm in finite mixture of regression	2018	Xiangrui Li Dongxiao Zhu
+	Efficient L1/Lq Norm Regularization	2010	Jun Liu Jieping Ye
+ PDF Chat	A small review and further studies on the LASSO	2013	Sunghoon Kwon Sang-Mi Han Sang-In Lee
+	Orthogonal L 1-norm Estimation	2002	Hans Nyquist
+	Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods	2013	Jie Wang Jun Liu Jieping Ye
+	Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables	2021	Xu Han Ethan X. Fang Cheng Yong Tang
+	Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables	2021	Xu Han Ethan X. Fang Cheng Yong Tang
+	Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables	2017	Masaaki Takada Taiji Suzuki Hironori Fujisawa
+	Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables	2018	Masaaki Takada Taiji Suzuki Hironori Fujisawa
+	Orthogonalizing Penalized Regression	2011	Shifeng Xiong Bin Dai Peter Z. G. Qian
+ PDF Chat	High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization	2023	Matteo Farnè Angela Montanari
+	The Ordered Weighted $\ell_1$ Norm: Atomic Formulation, Projections, and Algorithms	2014	Xiangrong Zeng Mário A. T. Figueiredo
+ PDF Chat	Comparative Study of the L1 Norm Regression Algorithms	2019	Bijan Bidabad
+	Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise	2008	Katsuyuki Hagiwara
+	A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation	2008	Xia Hong Sheng Chen C.J. Harris
+	L1 least squares for sparse high-dimensional LDA	2017	Yanfang Li Jinzhu Jia
+	Robust Coordinate Descent Algorithm Robust Solution Path for High-dimensional Sparse Regression Modeling	2014	H. Park Satoshi Konishi

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (3)

Action	Title	Year	Authors
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani
+	Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization	2004	Sheng Chen Xia Hong C.J. Harris Paul Sharkey