On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms.
Lam M. NguyenTrang H. TranPublished in: CoRR (2022)
Keyphrases
- global solution
- computationally efficient
- convergence rate
- recently developed
- theoretical analysis
- orders of magnitude
- benchmark datasets
- optimization problems
- edge detection
- computational cost
- significant improvement
- computational efficiency
- particle swarm optimization
- machine learning
- machine learning algorithms
- computational complexity
- data streams
- convergence speed
- iterative algorithms
- global convergence
- data structure