Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions.
Lars BuesingNicolas HeessTheophane WeberPublished in: AISTATS (2020)
Keyphrases
- approximate inference
- monte carlo tree search
- graphical models
- exact inference
- discrete variables
- belief propagation
- probabilistic inference
- monte carlo
- message passing
- gaussian process
- random variables
- parameter estimation
- bayesian networks
- linear gaussian
- dynamic bayesian networks
- latent variables
- evaluation function
- conditional random fields
- probability distribution
- belief networks
- markov chain
- maximum likelihood
- dynamic programming
- pairwise
- reinforcement learning