The sparsity and bias of the Lasso selection in high-dimensional linear regression

7 August 2008

Papers citing "The sparsity and bias of the Lasso selection in high-dimensional linear regression"

50 / 241 papers shown

Title
De-Biasing The Lasso With Degrees-of-Freedom Adjustment Pierre C. Bellec Cun-Hui Zhang 6 28 0 24 Feb 2019
Honest confidence sets for high-dimensional regression by projection and shrinkage Kun Zhou Ker-Chau Li Qing Zhou 9 4 0 01 Feb 2019
Rank-one Convexification for Sparse Regression Alper Atamtürk A. Gómez 9 50 0 29 Jan 2019
Optimal Sparsity Testing in Linear regression Model Alexandra Carpentier Nicolas Verzélen 11 9 0 25 Jan 2019
On Cross-validation for Sparse Reduced Rank Regression Yiyuan She Hoang Tran 15 15 0 30 Dec 2018
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data Xue Wang Mike Mingcheng Wei Tao Yao 13 4 0 07 Dec 2018
Second order Stein: SURE for SURE and other applications in high-dimensional inference Pierre C. Bellec Cun-Hui Zhang 12 33 0 09 Nov 2018
On the Properties of Simulation-based Estimators in High Dimensions S. Guerrier Mucyo Karemera Samuel Orso Maria-Pia Victoria-Feser 7 2 0 10 Oct 2018
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties Jian Huang Yuling Jiao Xiliang Lu Yueyong Shi Qinglong Yang 19 2 0 09 Oct 2018
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares Xiao Guo Guang Cheng 17 5 0 02 Oct 2018
Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior Chang-rui Liu Yue Yang H. Bondell Ryan Martin 26 8 0 01 Oct 2018
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking Fan Wang S. Mukherjee S. Richardson S. Hill 24 33 0 02 Aug 2018
Non-bifurcating phylogenetic tree inference via the adaptive LASSO Cheng Zhang Vu C. Dinh Frederick Albert Matsen IV 7 6 0 28 May 2018
Covariance-Insured Screening Kevin He Jian Kang H. Hong Ji Zhu Yanming Li Huazhen Lin Han Xu Yi Li 16 10 0 17 May 2018
High-dimensional Adaptive Minimax Sparse Estimation with Interactions Chenglong Ye Yuhong Yang 15 4 0 06 Apr 2018
The noise barrier and the large signal bias of the Lasso and other convex estimators Pierre C. Bellec 14 18 0 04 Apr 2018
Greedy Variance Estimation for the LASSO Christopher Kennedy Rachel A. Ward 11 4 0 28 Mar 2018
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning Yueyong Shi Jian Huang Yuling Jiao Qinglong Yang 34 4 0 24 Feb 2018
Sorted Concave Penalized Regression Long Feng Cun-Hui Zhang 13 13 0 28 Dec 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 9 2,807 0 15 Jun 2017
Which bridge estimator is optimal for variable selection? Shuaiwen Wang Haolei Weng A. Maleki 9 17 0 24 May 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 39 57 0 16 May 2017
A projection pursuit framework for testing general high-dimensional hypothesis Yinchu Zhu Jelena Bradic 13 13 0 02 May 2017
Statistical inference for high dimensional regression via Constrained Lasso Yun Yang 26 4 0 17 Apr 2017
Convex and non-convex regularization methods for spatial point processes intensity estimation Achmad Choiruddin Jean‐François Coeurjolly Frédérique Letué 3DPC 27 37 0 07 Mar 2017
Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models Damian Kozbur 21 5 0 03 Feb 2017
A Constructive Approach to High-dimensional Regression Jian Huang Yuling Jiao Yanyan Liu Xiliang Lu 11 4 0 18 Jan 2017
On the frequentist validity of Bayesian limits B. Kleijn 11 15 0 25 Nov 2016
Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression N. Xu Jian Hong Timothy C. G. Fisher 13 2 0 18 Oct 2016
Two-sample testing in non-sparse high-dimensional linear models Yinchu Zhu Jelena Bradic 14 9 0 14 Oct 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 11 1 0 22 Sep 2016
Finite-sample and asymptotic analysis of generalization ability with an application to penalized regression N. Xu Jian Hong Timothy C. G. Fisher 10 0 0 12 Sep 2016
Model selection consistency from the perspective of generalization ability and VC theory with an application to Lasso N. Xu Jian Hong Timothy C. G. Fisher 23 0 0 01 Jun 2016
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function Xingguo Li Haoming Jiang Jarvis D. Haupt R. Arora Han Liu Mingyi Hong T. Zhao 18 11 0 25 May 2016
Sub-optimality of some continuous shrinkage priors A. Bhattacharya David B. Dunson D. Pati Natesh S. Pillai 22 3 0 18 May 2016
Tuning parameter selection in high dimensional penalized likelihood Yingying Fan C. Tang 21 326 0 11 May 2016
Asymptotic equivalence of regularization methods in thresholded parameter space Yingying Fan Jinchi Lv 15 54 0 11 May 2016
On cross-validated Lasso in high dimensions Denis Chetverikov Z. Liao Victor Chernozhukov 21 80 0 07 May 2016
Constructive Preference Elicitation by Setwise Max-margin Learning Stefano Teso Andrea Passerini P. Viappiani 11 24 0 20 Apr 2016
An analysis of penalized interaction models Junlong Zhao Chenlei Leng 61 9 0 30 Mar 2016
Constraints and Conditions: the Lasso Oracle-inequalities N. Gauraha 25 1 0 20 Mar 2016
A knockoff filter for high-dimensional selective inference Rina Foygel Barber Emmanuel J. Candes 6 177 0 10 Feb 2016
On the Finite-Sample Analysis of $Θ$ -estimators Yiyuan She 11 3 0 13 Dec 2015
Analysis of Testing-Based Forward Model Selection Damian Kozbur 22 9 0 08 Dec 2015
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 19 42 0 29 Nov 2015
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 4 43 0 14 Nov 2015
Consistent Parameter Estimation for LASSO and Approximate Message Passing Ali Mousavi A. Maleki Richard G. Baraniuk 9 58 0 03 Nov 2015
Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models Degui Li Y. Ke Wenyang Zhang 9 35 0 29 Oct 2015
High dimensional regression and matrix estimation without tuning parameters S. Chatterjee 13 4 0 25 Oct 2015
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs Adel Javanmard Andrea Montanari 24 198 0 11 Aug 2015