2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2025
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…
stat.ML2025★ 2 cited
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…
stat.ML2024
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…