Jianneng Cao

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization

Matrix eigen-decomposition is a classic and long-standing problem that plays a fundamental role in scientific computing and machine learning. Despite some existing algorithms for this inherently non-convex problem, the study remains inadequate for the need of large data nowadays. To address this gap…