Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference.
Uros SeljakRichard D. P. GrumittBiwei DaiPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- monte carlo
- particle filter
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- markov chain
- monte carlo simulation
- importance sampling
- monte carlo methods
- statistical inference
- markovian decision
- hierarchical bayesian
- stochastic approximation
- adaptive sampling
- markov chain monte carlo
- temporal difference
- matrix inversion
- monte carlo tree search
- point processes
- machine learning
- particle filtering
- expectation propagation
- closed form
- mixture model
- model selection
- conditional density estimation
- quasi monte carlo
- training data