Ensemble Kalman Sampling: mean-field limit and convergence analysis.
Zhiyan DingQin LiPublished in: CoRR (2019)
Keyphrases
- convergence analysis
- global convergence
- optimality conditions
- monte carlo
- neural network
- ensemble methods
- markov random field
- convergence speed
- approximation methods
- feature selection
- learning algorithm
- sample size
- training set
- convergence rate
- particle swarm optimization algorithm
- markov networks
- nonlinear programming