Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results

Type: Preprint

Publication Date: 2012-01-01

Citations: 12

DOI: https://doi.org/10.48550/arxiv.1206.0823

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

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Works That Cite This (12)

Action Title Year Authors
+ Pivotal Estimation via Self-Normalization for High-Dimensional Linear Models with Error in Variables 2017 Alexandre Belloni
Victor Chernozhukov
Abhishek Kaul
Mathieu Rosenbaum
Alexandre B. Tsybakov
+ PDF Chat Linear and Conic Programming Estimators in High Dimensional Errors-in-variables Models 2016 Alexandre Belloni
Mathieu Rosenbaum
Alexandre B. Tsybakov
+ Fast and Robust Least Squares Estimation in Corrupted Linear Models 2014 Brian McWilliams
Gabriel Krummenacher
Mario Lučić
Joachim M. Buhmann
+ Fast and Robust Least Squares Estimation in Corrupted Linear Models 2014 Brian McWilliams
Gabriel Krummenacher
Mario Lučić
Joachim M. Buhmann
+ An $\{\ell_{1},\ell_{2},\ell_{\infty}\}$-regularization approach to high-dimensional errors-in-variables models 2016 Alexandre Belloni
Mathieu Rosenbaum
Alexandre B. Tsybakov
+ On Robustness of Principal Component Regression 2019 Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
+ PDF Chat Measurement error in Lasso: impact and likelihood bias correction 2014 Øystein Sørensen
Arnoldo Frigessi
Magne Thoresen
+ Robust High Dimensional Sparse Regression and Matching Pursuit 2013 Yudong Chen
Constantine Caramanis
Shie Mannor
+ Confidence bands for coefficients in high dimensional linear models with error-in-variables 2017 Victor Chernozhukov
Alexandre Belloni
Abhishek Kaul
+ On Principal Component Regression in a High-Dimensional Error-in-Variables Setting. 2020 Anish Agarwal
Devavrat Shah
Dennis Shen