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Transposable regularized covariance models with an application to missing data imputation

18 June 2009

Papers citing "Transposable regularized covariance models with an application to missing data imputation"

27 / 27 papers shown

Title
DNNLasso: Scalable Graph Learning for Matrix-Variate Data Meixia Lin Yangjing Zhang 31 0 0 05 Mar 2024
On Separability of Covariance in Multiway Data Analysis Dogyoon Song Alfred Hero 56 0 0 05 Feb 2023
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model Yu Wang Alfred Hero 57 4 0 26 May 2021
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing S. Tripathi David Muhr Manuel Brunner F. Emmert-Streib H. Jodlbauer M. Dehmer 51 45 0 28 Jul 2020
Maximum likelihood estimation for matrix normal models via quiver representations H. Derksen V. Makam 128 24 0 20 Jul 2020
Kronecker Attention Networks Hongyang Gao Zhengyang Wang Shuiwang Ji 55 33 0 16 Jul 2020
tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder Alexander Campbell Pietro Lio BDL CML 91 9 0 08 Jun 2020
Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence Seongoh Park Xinlei Wang Johan Lim 97 14 0 08 Jun 2020
Autoregressive Identification of Kronecker Graphical Models Mattia Zorzi 63 16 0 29 Apr 2020
Inferring phenotypic trait evolution on large trees with many incomplete measurements G. Hassler Max R. Tolkoff William L. Allen L. Ho P. Lemey M. Suchard 21 15 0 07 Jun 2019
Matrix-normal models for fMRI analysis Michael Shvartsman N. Sundaram Mikio C. Aoi Adam Charles Theodore L. Willke Jonathan Cohen 51 14 0 08 Nov 2017
Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls David Gerard M. Stephens 46 9 0 23 May 2017
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions Zhengyang Wang Hao Yuan Shuiwang Ji DRL 66 8 0 18 May 2017
Errors-in-variables models with dependent measurements M. Rudelson Shuheng Zhou 60 16 0 15 Nov 2016
A penalized likelihood method for classification with matrix-valued predictors Aaron J. Molstad Adam J. Rothman 68 15 0 23 Sep 2016
Robust SAR STAP via Kronecker Decomposition Kristjan Greenewald E. Zelnio Alfred Hero 78 25 0 05 May 2016
Penalized versus constrained generalized eigenvalue problems Irina Gaynanova J. Booth M. Wells 56 9 0 22 Oct 2014
Existence and uniqueness of the maximum likelihood estimator for models with a Kronecker product covariance structure B. P. Ros F. Bijma J. C. Munck M. Gunst 41 25 0 08 Oct 2014
A Constrained Matrix-Variate Gaussian Process for Transposable Data Oluwasanmi Koyejo Cheng H. Lee Joydeep Ghosh 54 3 0 27 Apr 2014
Detection of Anomalous Crowd Behavior Using Spatio-Temporal Multiresolution Model and Kronecker Sum Decompositions Kristjan Greenewald Alfred Hero 98 8 0 14 Jan 2014
Kronecker Sum Decompositions of Space-Time Data Kristjan Greenewald Theodoros Tsiligkaridis Alfred Hero 103 25 0 27 Jul 2013
Testing for nodal dependence in relational data matrices A. Volfovsky P. Hoff 48 10 0 24 Jun 2013
Covariance Estimation in High Dimensions via Kronecker Product Expansions Theodoros Tsiligkaridis Alfred Hero 182 111 0 12 Feb 2013
Gemini: Graph estimation with matrix variate normal instances Shuheng Zhou 150 106 0 23 Sep 2012
Likelihood Estimation with Incomplete Array Variate Observations Deniz Akdemir 126 0 0 12 Sep 2012
Convergence Properties of Kronecker Graphical Lasso Algorithms Theodoros Tsiligkaridis Alfred Hero Shuheng Zhou 139 76 0 03 Apr 2012
Inference with Transposable Data: Modeling the Effects of Row and Column Correlations Genevera I. Allen Robert Tibshirani 129 46 0 01 Apr 2010