Learning and Inference in Hilbert Space with Quantum Graphical Models.
Siddarth SrinivasanCarlton DowneyByron BootsPublished in: NeurIPS (2018)
Keyphrases
- graphical models
- markov logic networks
- relational dependency networks
- undirected graphical models
- probabilistic inference
- belief propagation
- bayesian networks
- random variables
- reinforcement learning
- probabilistic model
- learning tasks
- belief networks
- approximate inference
- statistical relational learning
- hilbert space
- markov networks
- learning algorithm
- learning problems
- relational data
- structure learning
- dynamic bayesian networks
- multiscale
- directed graphical models