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Errors-in-variables models with dependent measurements
v1v2 (latest)

Errors-in-variables models with dependent measurements

15 November 2016
M. Rudelson
Shuheng Zhou
ArXiv (abs)PDFHTML

Papers citing "Errors-in-variables models with dependent measurements"

8 / 8 papers shown
Title
Sharper rates of convergence for the tensor graphical Lasso estimator
Sharper rates of convergence for the tensor graphical Lasso estimator
Shuheng Zhou
Kristjan Greenewald
68
0
0
02 Apr 2023
High dimensional stochastic linear contextual bandit with missing
  covariates
High dimensional stochastic linear contextual bandit with missing covariates
Byoungwook Jang
Julia Nepper
M. Chevrette
J. Handelsman
Alfred Hero
43
0
0
22 Jul 2022
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Yu Wang
Alfred Hero
57
4
0
26 May 2021
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
Jun Ho Yoon
Seyoung Kim
BDL
43
4
0
20 May 2021
The Sylvester Graphical Lasso (SyGlasso)
The Sylvester Graphical Lasso (SyGlasso)
Yu Wang
B. Jang
Alfred Hero
54
16
0
01 Feb 2020
Imputation for High-Dimensional Linear Regression
Imputation for High-Dimensional Linear Regression
Kabir Chandrasekher
A. Alaoui
Andrea Montanari
58
6
0
24 Jan 2020
Precision Matrix Estimation with Noisy and Missing Data
Precision Matrix Estimation with Noisy and Missing Data
Roger Fan
B. Jang
Yuekai Sun
Shuheng Zhou
39
7
0
07 Apr 2019
High-dimensional Log-Error-in-Variable Regression with Applications to
  Microbial Compositional Data Analysis
High-dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis
Pixu Shi
Yuchen Zhou
Anru R. Zhang
80
19
0
28 Nov 2018
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