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Fast and Robust Least Squares Estimation in Corrupted Linear Models
v1v2 (latest)

Fast and Robust Least Squares Estimation in Corrupted Linear Models

12 June 2014
Brian McWilliams
Gabriel Krummenacher
Mario Lucic
J. M. Buhmann
ArXiv (abs)PDFHTML

Papers citing "Fast and Robust Least Squares Estimation in Corrupted Linear Models"

15 / 15 papers shown
Title
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
Zheyi Fan
Zhaohui Li
Jingyan Wang
Dennis K. J. Lin
X. Xiong
Qingpei Hu
AAML
61
0
0
24 Dec 2022
Algorithmic Decision-Making Safeguarded by Human Knowledge
Algorithmic Decision-Making Safeguarded by Human Knowledge
Ningyuan Chen
Mingya Hu
Wenhao Li
59
5
0
20 Nov 2022
Sampling with replacement vs Poisson sampling: a comparative study in
  optimal subsampling
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling
Jing Wang
Jiahui Zou
Haiying Wang
73
18
0
17 May 2022
Long-term Data Sharing under Exclusivity Attacks
Long-term Data Sharing under Exclusivity Attacks
Yotam gafni
Moshe Tennenholtz
44
2
0
22 Jan 2022
Markov subsampling based Huber Criterion
Markov subsampling based Huber Criterion
Tieliang Gong
Yuxin Dong
Hong Chen
B. Dong
Chen Li
55
2
0
12 Dec 2021
Globally-convergent Iteratively Reweighted Least Squares for Robust
  Regression Problems
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems
B. Mukhoty
G. Gopakumar
Prateek Jain
Purushottam Kar
62
30
0
25 Jun 2020
An Econometric Perspective on Algorithmic Subsampling
An Econometric Perspective on Algorithmic Subsampling
Serena Ng
S. Lee
46
13
0
03 Jul 2019
Robust Gaussian Process Regression for Real-Time High Precision GPS
  Signal Enhancement
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement
Ming Lin
Xiaomin Song
Qi Qian
Hao Li
Liang Sun
Shenghuo Zhu
Rong Jin
48
15
0
03 Jun 2019
Byzantine Fault Tolerant Distributed Linear Regression
Byzantine Fault Tolerant Distributed Linear Regression
Nirupam Gupta
Nitin H. Vaidya
60
23
0
20 Mar 2019
Adaptive Iterative Hessian Sketch via A-Optimal Subsampling
Adaptive Iterative Hessian Sketch via A-Optimal Subsampling
Aijun Zhang
Hengtao Zhang
G. Yin
23
6
0
20 Feb 2019
Efficient Augmentation via Data Subsampling
Efficient Augmentation via Data Subsampling
Michael Kuchnik
Virginia Smith
120
22
0
11 Oct 2018
Optimal Subsampling for Large Sample Logistic Regression
Optimal Subsampling for Large Sample Logistic Regression
Haiying Wang
Rong Zhu
Ping Ma
75
291
0
03 Feb 2017
Random Projections For Large-Scale Regression
Random Projections For Large-Scale Regression
Farman Ali
C. Heinze
K. H. Kim
242
45
0
19 Jan 2017
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
C. Heinze
Brian McWilliams
N. Meinshausen
130
37
0
08 Jun 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
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