A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization.
Jia BiSteve R. GunnPublished in: PRICAI (2) (2019)
Keyphrases
- gradient method
- derivative free
- log likelihood function
- optimization methods
- optimization problems
- global optimization
- optimization algorithm
- nonlinear programming
- objective function
- maximum likelihood
- step size
- negative matrix factorization
- convergence rate
- convex formulation
- cost function
- faster convergence
- optimization method
- evolutionary algorithm
- similarity measure
- convex optimization
- natural gradient learning
- policy gradient
- maximum likelihood estimation
- neural network
- data analysis
- genetic algorithm