Asymptotic bias of inexact Markov Chain Monte Carlo methods in high dimension.
Alain DurmusAndreas EberlePublished in: CoRR (2021)
Keyphrases
- high dimension
- markov chain monte carlo methods
- real valued
- feature space
- feature selection
- small sample
- input space
- high dimensional
- posterior distribution
- support vector machine
- fully bayesian
- high dimensional data
- computer vision
- worst case
- probability distribution
- nearest neighbor
- active learning
- feature extraction
- machine learning