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Outlier Detection Using Nonconvex Penalized Regression
v1v2v3 (latest)

Outlier Detection Using Nonconvex Penalized Regression

14 June 2010
Yiyuan She
Art B. Owen
ArXiv (abs)PDFHTML

Papers citing "Outlier Detection Using Nonconvex Penalized Regression"

50 / 54 papers shown
Title
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
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
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
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
Estimation of sparse linear regression coefficients under LLL-subexponential covariates
Takeyuki Sasai
88
0
0
24 Apr 2023
Robustifying likelihoods by optimistically re-weighting data
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
Challenges of cellwise outliers
Jakob Raymaekers
P. Rousseeuw
56
12
0
04 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
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
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
Learning of Dynamical Systems under Adversarial Attacks -- Null Space Property Perspective
Han Feng
Baturalp Yalcin
Javad Lavaei
AAML
70
5
0
04 Oct 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
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
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 L2E\text{L}_2\text{E}L2​E Regression
Xiaoqian Liu
Eric C. Chi
K. Lange
57
3
0
06 Mar 2022
Adaptive and Robust Multi-Task Learning
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
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
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
D. Kepplinger
54
14
0
07 Jul 2021
More Powerful Conditional Selective Inference for Generalized Lasso by
  Parametric Programming
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
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
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
A User-Friendly Computational Framework for Robust Structured Regression with the L2_22​ Criterion
Jocelyn T. Chi
Eric C. Chi
OffRL
49
5
0
08 Oct 2020
Simultaneous Feature Selection and Outlier Detection with Optimality
  Guarantees
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
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
Robust estimation with Lasso when outputs are adversarially contaminated
Takeyuki Sasai
Hironori Fujisawa
88
8
0
13 Apr 2020
Deep Weakly-supervised Anomaly Detection
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
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
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 ℓ1\ell_1ℓ1​-penalized Huber's MMM-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
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
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
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
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
A refined convergence analysis of pDCAe_ee​ 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
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
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
Valid Inference Corrected for Outlier Removal
Shuxiao Chen
Jacob Bien
90
56
0
29 Nov 2017
Linear Regression with Sparsely Permuted Data
Linear Regression with Sparsely Permuted Data
M. Slawski
E. Ben-David
104
73
0
16 Oct 2017
Exploring Outliers in Crowdsourced Ranking for QoE
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
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
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
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
A General Method for Robust Bayesian Modeling
Chong-Jun Wang
David M. Blei
OOD
64
53
0
17 Oct 2015
Robust Reduced Rank Regression
Robust Reduced Rank Regression
Yiyuan She
Kun Chen
93
58
0
14 Sep 2015
Confounder Adjustment in Multiple Hypothesis Testing
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
Robust Regression via Hard Thresholding
Kush S. Bhatia
Prateek Jain
Purushottam Kar
AAMLOOD
62
157
0
08 Jun 2015
Matrix Completion with Noisy Entries and Outliers
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
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
Robust Orthogonal Complement Principal Component Analysis
Yiyuan She
Shijie Li
Dapeng Wu
104
25
0
05 Oct 2014
Evaluating Visual Properties via Robust HodgeRank
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
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)
Robust Logistic Regression using Shift Parameters (Long Version)
J. Tibshirani
Christopher D. Manning
107
38
0
21 May 2013
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