An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization.
Björn EngquistKui RenYunan YangPublished in: CoRR (2022)
Keyphrases
- global optimization
- stochastic gradient descent
- learning algorithm
- particle swarm optimization
- dynamic programming
- optimal solution
- cost function
- constrained global optimization
- simulated annealing
- pso algorithm
- optimization algorithm
- expectation maximization
- objective function
- loss function
- semi supervised
- probabilistic model
- k means