Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold.
Sandesh AdhikarySiddarth SrinivasanByron BootsPublished in: CoRR (2019)
Keyphrases
- graphical models
- approximate inference
- conditional random fields
- learning algorithm
- probabilistic graphical models
- probabilistic model
- random variables
- belief propagation
- probabilistic inference
- reinforcement learning
- statistical inference
- structure learning
- euclidean space
- belief networks
- objective function
- probability distribution
- prior knowledge
- exponential family
- undirected graphical models
- structural learning
- possibilistic networks
- relational dependency networks