2026
Positive Definite Sparse Covariance Estimation via Dual Space Optimization
AAAI 2026technical
Covariance matrix estimation in high dimensions is a fundamental problem in machine learning and signal processing. A common structural assumption used to mitigate the challenges posed by high dimensionality is sparsity, which posits that most variable pairs exhibit negligible correlations. In this