Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks.
Theodore PapamarkouJacob D. HinkleM. Todd YoungDavid E. WomblePublished in: CoRR (2019)
Keyphrases
- bayesian inference
- markov chain monte carlo
- neural network
- hyperparameters
- probabilistic model
- prior information
- gibbs sampler
- particle filter
- variational bayes
- variational inference
- gibbs sampling
- variational approximation
- markov networks
- bayesian model
- markov chain
- posterior distribution
- expectation propagation
- genetic algorithm
- exponential family
- generative model