Robust Lasso with missing and grossly corrupted observations

2 December 2011

Papers citing "Robust Lasso with missing and grossly corrupted observations"

50 / 63 papers shown

Title
Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers Takeyuki Sasai Hironori Fujisawa 29 0 0 02 Aug 2024
Optimal estimation of the null distribution in large-scale inference Subhodh Kotekal Chao Gao 17 3 0 12 Jan 2024
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions Ilias Diakonikolas Sushrut Karmalkar Jongho Park Christos Tzamos 18 1 0 20 Sep 2023
Analysis and Approximate Inference of Large Random Kronecker Graphs Zhenyu Liao Yuanqian Xia Chengmei Niu Yong Xiao 66 0 0 14 Jun 2023
Estimation of sparse linear regression coefficients under $L$ -subexponential covariates Takeyuki Sasai 28 0 0 24 Apr 2023
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators Hang Zhang Ping Li 18 6 0 20 Mar 2023
Algorithmic Decision-Making Safeguarded by Human Knowledge Ningyuan Chen Mingya Hu Wenhao Li 11 5 0 20 Nov 2022
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope Stanislav Minsker M. Ndaoud Lan Wang 34 8 0 30 Oct 2022
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer Xingyu Qu Diyang Li Xiaohan Zhao Bin Gu 16 1 0 15 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 27 4 0 24 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 18 4 0 15 Jun 2022
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns Chuyang Ke Jean Honorio 12 0 0 10 Jun 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning Zhenyu Sun Ermin Wei FedML 17 14 0 02 Jun 2022
$A Sharper Computational Tool for $\text{L}_2\text{E}$ Regression$ A Sharper Computational Tool for $\text{L}_2\text{E}$ Regression Xiaoqian Liu Eric C. Chi K. Lange 12 3 0 06 Mar 2022
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers Tommaso dÓrsi Chih-Hung Liu Rajai Nasser Gleb Novikov David Steurer Stefan Tiegel 26 12 0 04 Nov 2021
Heavy-tailed Streaming Statistical Estimation Che-Ping Tsai Adarsh Prasad Sivaraman Balakrishnan Pradeep Ravikumar 26 10 0 25 Aug 2021
Adversarial robust weighted Huber regression Takeyuki Sasai Hironori Fujisawa 17 0 0 22 Feb 2021
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach Paramita Koley Avirup Saha Sourangshu Bhattacharya Niloy Ganguly A. De 11 2 0 11 Feb 2021
Phase Transitions in Recovery of Structured Signals from Corrupted Measurements Zhongxing Sun Wei Cui Yulong Liu 19 2 0 03 Jan 2021
High-dimensional inference robust to outliers with l1-norm penalization Jad Beyhum 17 1 0 28 Dec 2020
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 19 9 0 12 Dec 2020
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion Takeyuki Sasai Hironori Fujisawa 17 0 0 25 Oct 2020
A User-Friendly Computational Framework for Robust Structured Regression with the L $_2$ Criterion Jocelyn T. Chi Eric C. Chi OffRL 12 5 0 08 Oct 2020
Online Robust Regression via SGD on the l1 loss Scott Pesme Nicolas Flammarion FedML 12 32 0 01 Jul 2020
Provable Training Set Debugging for Linear Regression Xiaomin Zhang Xiaojin Zhu Po-Ling Loh 21 0 0 16 Jun 2020
Model Repair: Robust Recovery of Over-Parameterized Statistical Models Chao Gao John D. Lafferty 13 6 0 20 May 2020
Robust Lasso-Zero for sparse corruption and model selection with missing covariates Pascaline Descloux Claire Boyer Julie Josse Aude Sportisse S. Sardy 20 4 0 12 May 2020
Robust estimation with Lasso when outputs are adversarially contaminated Takeyuki Sasai Hironori Fujisawa 19 8 0 13 Apr 2020
Efficient active learning of sparse halfspaces with arbitrary bounded noise Chicheng Zhang Jie Shen Pranjal Awasthi 19 42 0 12 Feb 2020
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features Feng Cen Guanghui Wang 13 32 0 13 Jan 2020
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data M. Slawski E. Ben-David Ping Li 16 45 0 16 Jul 2019
$Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator$ Outlier-robust estimation of a sparse linear model using $\ell_1$ -penalized Huber's $M$ -estimator A. Dalalyan Philip Thompson 16 66 0 12 Apr 2019
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression A. Suggala Kush S. Bhatia Pradeep Ravikumar Prateek Jain 17 47 0 19 Mar 2019
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications P. Combettes Christian L. Müller 17 25 0 04 Mar 2019
Confidence regions and minimax rates in outlier-robust estimation on the probability simplex A. Bateni A. Dalalyan 14 6 0 12 Feb 2019
Compressed Sensing with Adversarial Sparse Noise via L1 Regression Sushrut Karmalkar Eric Price AAML 11 34 0 21 Sep 2018
Restricted eigenvalue property for corrupted Gaussian designs Philip Thompson A. Dalalyan 9 1 0 21 May 2018
Learning with Non-Convex Truncated Losses by SGD Yi Tian Xu Shenghuo Zhu Sen Yang Chi Zhang R. L. Jin Tianbao Yang 32 34 0 21 May 2018
Is feature selection secure against training data poisoning? Huang Xiao Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli AAML SILM 11 422 0 21 Apr 2018
Byzantine Stochastic Gradient Descent Dan Alistarh Zeyuan Allen-Zhu J. Li FedML 14 296 0 23 Mar 2018
Representation Learning and Recovery in the ReLU Model A. Mazumdar A. S. Rawat 11 6 0 12 Mar 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Jacob Steinhardt Alistair Stewart 12 288 0 07 Mar 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 22 478 0 21 Dec 2017
Minimax estimation of a p-dimensional linear functional in sparse Gaussian models and robust estimation of the mean O. Collier A. Dalalyan 19 8 0 15 Dec 2017
High-dimensional robust regression and outliers detection with SLOPE Alain Virouleau Agathe Guilloux Stéphane Gaïffas M. Bogdan 20 9 0 07 Dec 2017
Linear Regression with Sparsely Permuted Data M. Slawski E. Ben-David 29 71 0 16 Oct 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 10 746 0 09 Jun 2017
Multivariate Regression with Gross Errors on Manifold-valued Data Xiaowei Zhang Xudong Shi Yu Sun Li Cheng 15 8 0 26 Mar 2017
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications Xiaowei Zhang Chi Xu Yu Zhang T. Zhu Li Cheng 14 6 0 11 Jan 2017
Minimizing Sum of Truncated Convex Functions and Its Applications Tzu-Ying Liu Hui Jiang 19 23 0 31 Jul 2016