Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks.
Jurijs NazarovsRonak R. MehtaVishnu Suresh LokhandeVikas SinghPublished in: CoRR (2022)
Keyphrases
- monte carlo
- neural network
- monte carlo methods
- monte carlo simulation
- importance sampling
- markov chain
- particle filter
- monte carlo tree search
- simulation study
- adaptive sampling
- optimal solution
- markovian decision
- bayesian networks
- stochastic approximation
- monte carlo method
- variance reduction
- game tree
- genetic algorithm
- maximum likelihood
- bayesian learning
- temporal difference
- markov chain monte carlo
- optimal strategy
- posterior distribution
- bayesian inference
- posterior probability