Deterministic Gibbs Sampling via Ordinary Differential Equations.
Kirill NeklyudovRoberto BondesanMax WellingPublished in: CoRR (2021)
Keyphrases
- gibbs sampling
- ordinary differential equations
- differential equations
- markov chain
- topic models
- parameter estimation
- dynamic systems
- approximate inference
- latent dirichlet allocation
- em algorithm
- belief networks
- numerical solution
- expectation maximization
- mathematical models
- partial differential equations
- biological systems
- markov chain monte carlo
- gene regulatory networks
- model selection
- probabilistic inference
- reinforcement learning
- data mining
- generative model
- graph cuts
- gaussian process
- image processing
- feature selection