Convergence analysis of a quasi-Monte Carlo-based deep learning algorithm for solving partial differential equations.
Fengjiang FuXiaoqun WangPublished in: CoRR (2022)
Keyphrases
- convergence analysis
- learning algorithm
- quasi monte carlo
- monte carlo
- global convergence
- variance reduction
- particle filter
- optimality conditions
- machine learning
- training data
- state space
- supervised learning
- genetic algorithm
- convergence rate
- learning tasks
- semi supervised learning
- reinforcement learning
- decision trees