Accelerating MCMC algorithms through Bayesian Deep Networks.

Héctor J. Hortúa Riccardo Volpi Dimitri Marinelli Luigi Malagò

Published in: CoRR (2020)

Keyphrases

markov chain monte carlo
computational cost
worst case
orders of magnitude
data structure
bayesian networks
computational complexity
computationally efficient
machine learning
prior knowledge
optimization problems
generative model
graph theory
posterior distribution
real world networks