16 citations · 40 across the 10 of their papers we have counts for
10 papers
On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series
Jitendra K. Tugnait
Estimation of the conditional independence graph (CIG) of high-dimensional multivariate Gaussian time series from multi-attribute data is considered. Existing methods for graph est…
Learning Conditional Independence Differential Graphs From Time-Dependent Data
Jitendra K Tugnait
Estimation of differences in conditional independence graphs (CIGs) of two time series Gaussian graphical models (TSGGMs) is investigated where the two TSGGMs are known to have sim…
Multi-Attribute Graph Estimation with Sparse-Group Non-Convex Penalties
Jitendra K Tugnait
We consider the problem of inferring the conditional independence graph (CIG) of high-dimensional Gaussian vectors from multi-attribute data. Most existing methods for graph estima…
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Jitendra K Tugnait
We consider the problem of estimating differences in two multi-attribute Gaussian graphical models (GGMs) which are known to have similar structure, using a penalized D-trace loss…
Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data
Jitendra K Tugnait
We consider the problem of inferring the conditional independence graph (CIG) of a sparse, high-dimensional, stationary matrix-variate Gaussian time series. All past work on high-d…
Learning High-Dimensional Differential Graphs From Multi-Attribute Data
Jitendra K Tugnait
We consider the problem of estimating differences in two Gaussian graphical models (GGMs) which are known to have similar structure. The GGM structure is encoded in its precision (…
Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation
Jitendra K Tugnait
We consider the problem of inferring the conditional independence graph (CIG) of a high-dimensional stationary multivariate Gaussian time series. In a time series graph, each compo…
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
Jitendra K Tugnait
We consider the problem of inferring the conditional independence graph (CIG) of a high-dimensional stationary multivariate Gaussian time series. A sparse-group lasso based frequen…
Sparse Graph Learning Under Laplacian-Related Constraints
Jitendra K. Tugnait
We consider the problem of learning a sparse undirected graph underlying a given set of multivariate data. We focus on graph Laplacian-related constraints on the sparse precision m…
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
Jitendra K. Tugnait
We consider the problem of inferring the conditional independence graph (CIG) of a sparse, high-dimensional stationary multivariate Gaussian time series. A sparse-group lasso-based…