Delta-AI: Local objectives for amortized inference in sparse graphical models.
Jean-Pierre FaletHae Beom LeeNikolay MalkinChen SunDragos SecrieruDinghuai ZhangGuillaume LajoieYoshua BengioPublished in: ICLR (2024)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- gaussian graphical models
- map inference
- factor graphs
- belief networks
- belief propagation
- bayesian networks
- efficient inference algorithms
- undirected graphical models
- loopy belief propagation
- approximate inference
- probabilistic model
- random variables
- directed graphical models
- nonparametric belief propagation
- statistical inference
- probabilistic networks
- directed acyclic
- probabilistic graphical models
- markov networks
- structure learning
- relational dependency networks
- conditional random fields
- possibilistic networks
- worst case
- probabilistic reasoning
- statistical relational learning
- markov logic networks
- collective classification
- graphical structure
- machine learning
- statistical relational
- conditional independence
- knowledge representation
- bayesian inference
- dynamic bayesian networks
- marginal probabilities
- markov random field