conftrace_

sparse inverse covariance

23 papers

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Also known as

SIC

Co-occurring keywords

graphical model (864) convex optimization (1321) gaussian markov random field (26) graphical lasso (31) inverse covariance estimation (15) precision matrix (58) sparse estimation (88) inverse covariance (20) block coordinate descent (64) newton's method (15)

Papers

Learning Partial Correlation Based Deep Visual Representation for Image Classification CVPR 2023
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition NIPS 2023
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022
Markov Random Fields for Collaborative Filtering NIPS 2019
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions JMLR 2019
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion ICML 2018
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NIPS 2014
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Newton-Like Methods for Sparse Inverse Covariance Estimation NIPS 2012
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NIPS 2009