On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.
Claire BoyerAntoine Godichon-BaggioniPublished in: Comput. Optim. Appl. (2023)
Keyphrases
- stochastic approximation
- computational complexity
- computational cost
- worst case
- computationally efficient
- convergence rate
- newton method
- neural network
- genetic algorithm
- learning algorithm
- optimization problems
- theoretical analysis
- machine learning algorithms
- benchmark datasets
- rates of convergence
- convergence property