On Learning Discrete Graphical Models using Group-Sparse Regularization.
Ali JalaliPradeep RavikumarVishvas VasukiSujay SanghaviPublished in: AISTATS (2011)
Keyphrases
- graphical models
- probabilistic model
- belief propagation
- random variables
- probabilistic inference
- probabilistic graphical models
- learning problems
- reinforcement learning
- structural learning
- gaussian graphical models
- learning algorithm
- structured prediction
- structure learning
- markov networks
- approximate inference
- conditional independence
- causal models
- exact inference
- map inference
- conditional random fields
- relational databases