& QUIC: Sparse Inverse Covariance Estimation for a Million Variables
–Neural Information Processing Systems
However, it requires solving a difficult non-smooth log-determinant program with number of parameters scaling quadratically with the number of Gaussian variables. State-of-the-art methods thus do not scale to problems with more than 20, 000 variables.
Neural Information Processing Systems
Mar-13-2024, 14:57:38 GMT
- Country:
- North America > United States > Texas (0.14)
- Genre:
- Research Report > Promising Solution (0.34)
- Technology: