Yogesh Darmwal

Low Complexity Riemannian Coordinate-Descent over Symmetric Positive Definite Matrices

Many signal processing and machine learning applications are framed as constrained optimization problems with positive definite constraints. Important examples include kernel matrix learning, covariance estimation of Gaussian distributions, maximum likelihood parameter estimation of elliptically con…