Bayesian Posterior Approximation With Stochastic Ensembles.
Oleksandr BalabanovBernhard MehligHampus LinanderPublished in: CVPR (2023)
Keyphrases
- discrete random variables
- approximation schemes
- stage stochastic programs
- monte carlo sampling
- decision trees
- stochastic optimization
- error bounds
- ensemble methods
- queueing networks
- monte carlo
- search algorithm
- stochastic nature
- closed form
- ensemble learning
- stochastic model
- stochastic process
- relative error
- feature space
- diversity measures
- neural network ensemble
- training data
- database