Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo.
Vyacheslav KungurtsevAdam D. CobbTara JavidiBrian JalaianPublished in: Mach. Learn. (2023)
Keyphrases
- bayesian learning
- monte carlo
- posterior distribution
- markov chain monte carlo
- model selection
- latent variables
- probability distribution
- importance sampling
- monte carlo tree search
- markov chain
- monte carlo method
- parameter estimation
- monte carlo simulation
- bayesian framework
- simulated annealing
- particle filter
- maximum a posteriori
- adaptive sampling
- markovian decision
- matrix inversion
- hyperparameters
- variance reduction
- search algorithm
- posterior probability