The premise of approximate MCMC in Bayesian deep learning.
Theodore PapamarkouPublished in: CoRR (2022)
Keyphrases
- feature space
- deep learning
- markov chain monte carlo
- posterior distribution
- bayesian inference
- posterior probability
- expectation propagation
- unsupervised learning
- machine learning
- mental models
- feature extraction
- bayesian networks
- weakly supervised
- unsupervised feature learning
- deep architectures
- text classification
- viewpoint
- approximate inference
- data mining