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Outlier Detection Using Nonconvex Penalized Regression

14 June 2010

Papers citing "Outlier Detection Using Nonconvex Penalized Regression"

50 / 54 papers shown

Title
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination Ilias Diakonikolas Giannis Iakovidis D. Kane Thanasis Pittas 196 0 0 20 Feb 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 215 9 0 10 Jan 2025
CR-Lasso: Robust cellwise regularized sparse regression Peng Su Garth Tarr Samuel G. Müller Suojin Wang 37 3 0 11 Jul 2023
Estimation of sparse linear regression coefficients under $L$ -subexponential covariates Takeyuki Sasai 88 0 0 24 Apr 2023
Robustifying likelihoods by optimistically re-weighting data Miheer Dewaskar Christopher Tosh Jeremias Knoblauch David B. Dunson 93 6 0 19 Mar 2023
Challenges of cellwise outliers Jakob Raymaekers P. Rousseeuw 56 12 0 04 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 141 8 0 02 Jan 2023
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope Stanislav Minsker M. Ndaoud Lan Wang 114 8 0 30 Oct 2022
Learning of Dynamical Systems under Adversarial Attacks -- Null Space Property Perspective Han Feng Baturalp Yalcin Javad Lavaei AAML 68 5 0 04 Oct 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 89 4 0 24 Aug 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 106 25 0 15 Mar 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 57 3 0 06 Mar 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 141 27 0 10 Feb 2022
Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies Yiyuan She Zhifeng Wang Jiahui Shen 69 12 0 15 Dec 2021
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression D. Kepplinger 52 14 0 07 Jul 2021
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Vo Nguyen Le Duy Ichiro Takeuchi 70 37 0 11 May 2021
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation Toshiaki Tsukurimichi Yu Inatsu Vo Nguyen Le Duy Ichiro Takeuchi 84 24 0 22 Apr 2021
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 89 9 0 12 Dec 2020
A User-Friendly Computational Framework for Robust Structured Regression with the L $_2$ Criterion Jocelyn T. Chi Eric C. Chi OffRL 49 5 0 08 Oct 2020
Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees Luca Insolia Ana M. Kenney Francesca Chiaromonte G. Felici 54 20 0 12 Jul 2020
Provable Training Set Debugging for Linear Regression Xiaomin Zhang Xiaojin Zhu Po-Ling Loh 60 0 0 16 Jun 2020
Robust estimation with Lasso when outputs are adversarially contaminated Takeyuki Sasai Hironori Fujisawa 88 8 0 13 Apr 2020
Deep Weakly-supervised Anomaly Detection Guansong Pang Chunhua Shen Huidong Jin Anton van den Hengel 89 94 0 30 Oct 2019
Minimizing a Sum of Clipped Convex Functions Shane T. Barratt Guillermo Angeris Stephen P. Boyd 81 9 0 27 Oct 2019
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data M. Slawski E. Ben-David Ping Li 83 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 67 68 0 12 Apr 2019
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications P. Combettes Christian L. Müller 76 25 0 04 Mar 2019
Asymptotically exact data augmentation: models, properties and algorithms Maxime Vono N. Dobigeon P. Chainais 66 27 0 15 Feb 2019
Robust Sparse Reduced Rank Regression in High Dimensions Kean Ming Tan Qiang Sun Daniela Witten 75 3 0 18 Oct 2018
Perspective Maximum Likelihood-Type Estimation via Proximal Decomposition P. Combettes Christian L. Müller 61 20 0 16 May 2018
A refined convergence analysis of pDCA $_e$ with applications to simultaneous sparse recovery and outlier detection Tianxiang Liu Ting Kei Pong Akiko Takeda 56 38 0 19 Apr 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 194 487 0 21 Dec 2017
High-dimensional robust regression and outliers detection with SLOPE Alain Virouleau Agathe Guilloux Stéphane Gaïffas M. Bogdan 91 9 0 07 Dec 2017
Valid Inference Corrected for Outlier Removal Shuxiao Chen Jacob Bien 87 56 0 29 Nov 2017
Linear Regression with Sparsely Permuted Data M. Slawski E. Ben-David 104 73 0 16 Oct 2017
Exploring Outliers in Crowdsourced Ranking for QoE Qianqian Xu Ming Yan Chendi Huang Jiechao Xiong Qingming Huang Yuan Yao 24 15 0 18 Jul 2017
Minimizing Sum of Truncated Convex Functions and Its Applications Tzu-Ying Liu Hui Jiang 77 23 0 31 Jul 2016
Bayesian Variable Selection for Skewed Heteroscedastic Response Libo Wang Yuanyuan Tang D. Sinha D. Pati S. Lipsitz 70 3 0 29 Feb 2016
Robust Classification by Pre-conditioned LASSO and Transductive Diffusion Component Analysis Yanwei Fu De-An Huang Leonid Sigal 18 0 0 19 Nov 2015
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset T. Bouwmans A. Sobral S. Javed Soon Ki Jung E. Zahzah 99 332 0 04 Nov 2015
A General Method for Robust Bayesian Modeling Chong-Jun Wang David M. Blei OOD 64 53 0 17 Oct 2015
Robust Reduced Rank Regression Yiyuan She Kun Chen 93 58 0 14 Sep 2015
Confounder Adjustment in Multiple Hypothesis Testing Jingshu Wang Qingyuan Zhao Trevor Hastie Art B. Owen CML 62 108 0 17 Aug 2015
Robust Regression via Hard Thresholding Kush S. Bhatia Prateek Jain Purushottam Kar AAML OOD 62 157 0 08 Jun 2015
Matrix Completion with Noisy Entries and Outliers Raymond K. W. Wong Thomas C. M. Lee 86 36 0 01 Mar 2015
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels Yanwei Fu Timothy M. Hospedales Tao Xiang Jiechao Xiong S. Gong Yizhou Wang Yuan Yao 528 46 0 25 Jan 2015
Robust Orthogonal Complement Principal Component Analysis Yiyuan She Shijie Li Dapeng Wu 104 25 0 05 Oct 2014
Evaluating Visual Properties via Robust HodgeRank Qianqian Xu Jiechao Xiong Xiaochun Cao Qingming Huang Yuan Yao 67 2 0 15 Aug 2014
Fast and Flexible ADMM Algorithms for Trend Filtering Aaditya Ramdas Robert Tibshirani 96 122 0 09 Jun 2014
Robust Logistic Regression using Shift Parameters (Long Version) J. Tibshirani Christopher D. Manning 107 38 0 21 May 2013