Matrix Product States for Inference in Discrete Probabilistic Models.
Rasmus BonnevieMikkel N. SchmidtPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- probabilistic model
- bayesian inference
- graphical models
- bayesian networks
- probabilistic modeling
- transition matrix
- probabilistic inference
- undirected graphical models
- generative model
- hartley transform
- latent variables
- expectation maximization
- random fields
- language model
- life cycle
- conditional random fields
- hopfield neural network
- mixture model
- factor graphs
- exact inference
- linear algebra
- product design
- markov networks
- markov chain
- hidden variables
- finite number
- variational inference
- conditional probabilities
- belief networks
- bayesian models
- hidden states
- discrete geometry
- crf model
- loopy belief propagation
- belief propagation
- state transitions
- structured prediction