Scaled Sparse Linear Regression

24 April 2011

Papers citing "Scaled Sparse Linear Regression"

50 / 71 papers shown

Title
Alternating minimization for square root principal component pursuit Shengxiang Deng Xudong Li Yangjing Zhang 42 0 0 31 Dec 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 29 1 0 18 Jul 2024
Structured Low-Rank Tensors for Generalized Linear Models Batoul Taki Anand D. Sarwate W. Bajwa 26 2 0 05 Aug 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 19 2 0 09 Jan 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 29 7 0 30 Dec 2022
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm Xiudi Li Abolfazl Safikhani Ali Shojaie 38 2 0 14 Oct 2022
Optimal tuning-free convex relaxation for noisy matrix completion Yuepeng Yang Cong Ma 28 8 0 12 Jul 2022
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 47 23 0 02 Mar 2022
Misspecification Analysis of High-Dimensional Random Effects Models for Estimation of Signal-to-Noise Ratios Xiaohan Hu Xiaodong Li 21 1 0 13 Feb 2022
High-dimensional regression with potential prior information on variable importance B. Stokell Rajen Dinesh Shah 28 0 0 23 Sep 2021
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity Zeyu Wu Cheng-Long Wang Weidong Liu 36 3 0 07 Jul 2021
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 28 17 0 15 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
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality Sai Li T. Tony Cai Hongzhe Li 46 157 0 18 Jun 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 27 20 0 26 Dec 2019
Statistical significance in high-dimensional linear mixed models Lina Lin Mathias Drton Ali Shojaie 35 5 0 16 Dec 2019
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis Y. Deshpande Adel Javanmard M. Mehrabi AI4TS 34 31 0 04 Nov 2019
Multi-subject MEG/EEG source imaging with sparse multi-task regression H. Janati Yonas T. Tadesse B. Thirion Marco Cuturi Alexandre Gramfort 27 32 0 03 Oct 2019
Double-estimation-friendly inference for high-dimensional misspecified models Rajen Dinesh Shah Peter Buhlmann 26 10 0 24 Sep 2019
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 45 35 0 10 Aug 2019
The cost-free nature of optimally tuning Tikhonov regularizers and other ordered smoothers Pierre C. Bellec Dana Yang 18 8 0 29 May 2019
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates H. Janati Thomas Bazeille B. Thirion Marco Cuturi Alexandre Gramfort OT 24 10 0 13 Feb 2019
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models Yinan Li Xiao Liu Fang Liu 29 7 0 11 Oct 2018
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications T. Tony Cai Zijian Guo 24 59 0 16 Jun 2018
Sparse Travel Time Estimation from Streaming Data Saif Eddin Jabari N. Freris D. Dilip 16 24 0 22 Apr 2018
False Discovery Rate Control via Debiased Lasso Adel Javanmard Hamid Javadi 31 56 0 12 Mar 2018
Adaptive robust estimation in sparse vector model L. Comminges O. Collier M. Ndaoud Alexandre B. Tsybakov 28 15 0 12 Feb 2018
High-dimensional robust regression and outliers detection with SLOPE Alain Virouleau Agathe Guilloux Stéphane Gaïffas M. Bogdan 22 9 0 07 Dec 2017
Linear Regression with Sparsely Permuted Data M. Slawski E. Ben-David 34 71 0 16 Oct 2017
Inference for high-dimensional instrumental variables regression David Gold Johannes Lederer Jing Tao 20 37 0 18 Aug 2017
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low Rahul Mazumder P. Radchenko Antoine Dedieu 15 57 0 10 Aug 2017
Localized Gaussian width of $M$ -convex hulls with applications to Lasso and convex aggregation Pierre C. Bellec 21 17 0 30 May 2017
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression Mathurin Massias Olivier Fercoq Alexandre Gramfort Joseph Salmon 47 23 0 27 May 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 48 58 0 16 May 2017
Distributionally Robust Groupwise Regularization Estimator Jose H. Blanchet Yang Kang OOD 11 23 0 11 May 2017
A Flexible Framework for Hypothesis Testing in High-dimensions Adel Javanmard J. Lee 34 29 0 26 Apr 2017
Improved bounds for Square-Root Lasso and Square-Root Slope A. Derumigny 25 26 0 08 Mar 2017
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 29 84 0 10 Oct 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 15 1 0 22 Sep 2016
Testing Endogeneity with High Dimensional Covariates Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 27 24 0 21 Sep 2016
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 31 24 0 01 Aug 2016
Learning Local Dependence In Ordered Data Guo Yu Jacob Bien 16 34 0 25 Apr 2016
Non-convex Global Minimization and False Discovery Rate Control for the TREX Jacob Bien Irina Gaynanova Johannes Lederer Christian L. Müller 9 22 0 22 Apr 2016
Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 30 118 0 16 Mar 2016
Simultaneous Inference for High-dimensional Linear Models Xianyang Zhang Guang Cheng 19 133 0 03 Mar 2016
Ridge regression and asymptotic minimax estimation over spheres of growing dimension Lee H. Dicker 28 75 0 15 Jan 2016
Goodness of fit tests for high-dimensional linear models Rajen Dinesh Shah Peter Buhlmann 30 46 0 10 Nov 2015
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity T. Tony Cai Zijian Guo 35 184 0 18 Jun 2015
Inference of high-dimensional linear models with time-varying coefficients Xiaohui Chen Yifeng He 42 9 0 12 Jun 2015
Online Hyperparameter-Free Sparse Estimation Method Dave Zachariah Petre Stoica 22 38 0 06 May 2015