On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization.
Jinshan ZengYixuan ZhaKe MaYuan YaoPublished in: CoRR (2021)
Keyphrases
- semidefinite
- gradient method
- semidefinite programming
- convex relaxation
- optimization methods
- convergence rate
- interior point methods
- step size
- higher dimensional
- sufficient conditions
- convex sets
- linear programming
- negative matrix factorization
- optimization method
- feature extraction
- optimization algorithm
- optimization problems
- image features