Robust Methods for High-Dimensional Linear Learning

10 August 2022

Papers citing "Robust Methods for High-Dimensional Linear Learning"

9 / 9 papers shown

Title
Robust Gradient Descent for Phase Retrieval Alex Buna Patrick Rebeschini OOD 31 0 0 14 Oct 2024
Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers Takeyuki Sasai Hironori Fujisawa 35 0 0 02 Aug 2024
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope Stanislav Minsker M. Ndaoud Lan Wang 40 8 0 30 Oct 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 30 4 0 24 Aug 2022
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 49 96 0 28 Mar 2016
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Noisy Matrix Decomposition Hanie Sedghi Anima Anandkumar E. Jonckheere 51 13 0 20 Feb 2014
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009
High-dimensional generalized linear models and the lasso Sara van de Geer 194 749 0 04 Apr 2008