An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes.
Antonio OrvietoLin XiaoPublished in: CoRR (2024)
Keyphrases
- image classification
- gradient method
- gauss newton
- convergence rate
- convergence analysis
- levenberg marquardt
- step size
- approximate dynamic programming
- optimization methods
- gaussian process
- active appearance models
- global convergence
- negative matrix factorization
- newton method
- least squares
- artificial neural networks
- optimality conditions
- linear program
- optimization algorithm