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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"

9 / 9 papers shown
Sharper rates of convergence for the tensor graphical Lasso estimator
Sharper rates of convergence for the tensor graphical Lasso estimatorInternational Symposium on Information Theory (ISIT), 2023
Shuheng Zhou
Kristjan Greenewald
397
0
0
02 Apr 2023
High dimensional stochastic linear contextual bandit with missing
  covariates
High dimensional stochastic linear contextual bandit with missing covariatesInternational Workshop on Machine Learning for Signal Processing (MLSP), 2022
Byoungwook Jang
Julia Nepper
M. Chevrette
J. Handelsman
Alfred Hero
168
2
0
22 Jul 2022
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
SG-PALM: a Fast Physically Interpretable Tensor Graphical ModelInternational Conference on Machine Learning (ICML), 2021
Yu Wang
Alfred Hero
208
4
0
26 May 2021
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance EstimationJournal of machine learning research (JMLR), 2021
Jun Ho Yoon
Seyoung Kim
BDL
187
5
0
20 May 2021
The Sylvester Graphical Lasso (SyGlasso)
The Sylvester Graphical Lasso (SyGlasso)International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yu Wang
B. Jang
Alfred Hero
242
17
0
01 Feb 2020
Imputation for High-Dimensional Linear Regression
Imputation for High-Dimensional Linear Regression
Kabir Chandrasekher
A. Alaoui
Andrea Montanari
285
11
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
237
10
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
279
19
0
28 Nov 2018
Thresholded Lasso for high dimensional variable selection and
  statistical estimation
Thresholded Lasso for high dimensional variable selection and statistical estimation
Shuheng Zhou
543
39
0
08 Feb 2010
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