Piecewise Deterministic Markov Processes for Bayesian Neural Networks.
Ethan GoanDimitri PerrinKerrie L. MengersenClinton FookesPublished in: UAI (2023)
Keyphrases
- markov processes
- neural network
- markov process
- markov chain
- stochastic processes
- random fields
- continuous time bayesian networks
- non stationary
- bayesian networks
- maximum entropy
- maximum likelihood
- markov chain monte carlo
- posterior probability
- continuous time markov chains
- network architecture
- stochastic process
- random walk
- probability distribution