Bayesian posterior approximation with stochastic ensembles.
Oleksandr BalabanovBernhard MehligHampus LinanderPublished in: CoRR (2022)
Keyphrases
- discrete random variables
- approximation schemes
- stage stochastic programs
- monte carlo sampling
- approximation algorithms
- monte carlo
- error bounds
- decision trees
- approximation methods
- markov chain
- ensemble learning
- classifier ensemble
- stochastic optimization
- stochastic models
- approximation ratio
- ensemble selection
- relative error
- weighted voting
- database
- learning automata
- information retrieval