I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic
Complexity and Statistical Error

I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error

3 July 2015

Tong Zhang

Papers citing "I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error"

17 / 17 papers shown

Title
Estimation of sparse linear regression coefficients under $L$ -subexponential covariates Takeyuki Sasai 28 0 0 24 Apr 2023
Online Linearized LASSO Shuoguang Yang Yuhao Yan Xiuneng Zhu Qiang Sun 16 3 0 11 Nov 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 30 4 0 24 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 23 4 0 15 Jun 2022
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression Rebeka Man Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 29 13 0 05 May 2022
Markov subsampling based Huber Criterion Tieliang Gong Yuxin Dong Hong Chen B. Dong Chen Li 16 2 0 12 Dec 2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 29 56 0 12 Sep 2021
Do we need to estimate the variance in robust mean estimation? Qiang Sun OOD 24 7 0 30 Jun 2021
Support estimation in high-dimensional heteroscedastic mean regression P. Hermann H. Holzmann 31 0 0 03 Nov 2020
Best subset selection is robust against design dependence Yongyi Guo Ziwei Zhu Jianqing Fan 13 7 0 03 Jul 2020
$Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?$ Does the $\ell_1$ -norm Learn a Sparse Graph under Laplacian Constrained Graphical Models? Jiaxi Ying J. Cardoso Daniel P. Palomar 8 10 0 26 Jun 2020
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure Tudor Manole Abbas Khalili 27 19 0 24 May 2020
Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes Y. Wu Lan Wang 13 9 0 25 Nov 2019
Robust Inference via Multiplier Bootstrap Xi Chen Wen-Xin Zhou 27 31 0 18 Mar 2019
Robust Sparse Reduced Rank Regression in High Dimensions Kean Ming Tan Qiang Sun Daniela Witten 23 3 0 18 Oct 2018
A New Perspective on Robust $M$ -Estimation: Finite Sample Theory and Applications to Dependence-Adjusted Multiple Testing Wen-Xin Zhou K. Bose Jianqing Fan Han Liu 19 62 0 15 Nov 2017
Adaptive Huber Regression Qiang Sun Wen-Xin Zhou Jianqing Fan 48 277 0 21 Jun 2017