Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting.
Adam D. CobbBrian JalaianPublished in: UAI (2021)
Keyphrases
- monte carlo
- neural network
- markov chain monte carlo
- monte carlo methods
- bayesian inference
- bayesian networks
- markov chain
- monte carlo simulation
- importance sampling
- particle filter
- markovian decision
- stochastic approximation
- statistical inference
- genetic algorithm
- probabilistic inference
- posterior probability
- variance reduction
- monte carlo tree search
- belief networks
- optimal strategy
- game tree search
- probabilistic model
- posterior distribution
- bayesian learning
- maximum likelihood
- monte carlo method