Search Results for author:
Found 5 papers, 2 papers with code
Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach
This results in a nonsingular probability density function, enabling the application of maximum likelihood estimation techniques.
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces
We introduce AdaSub, a stochastic optimization algorithm that computes a search direction based on second-order information in a low-dimensional subspace that is defined adaptively based on available current and past information.
Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition
Spectral Computed Tomography (CT) is an emerging technology that enables to estimate the concentration of basis materials within a scanned object by exploiting different photon energy spectra.
On the Robustness and Scalability of Semidefinite Relaxation for Optimal Power Flow Problems
Semidefinite relaxation techniques have shown great promise for nonconvex optimal power flow problems.
Optimization and Control
Tomographic Image Reconstruction using Training images
Incorporating the dictionary as a prior in a convex reconstruction problem, we then find an approximate solution with a sparse representation in the dictionary.
