Structured Cooperative Learning with Graphical Model Priors.
Shuangtong LiTianyi ZhouXinmei TianDacheng TaoPublished in: ICML (2023)
Keyphrases
- graphical models
- cooperative learning
- belief propagation
- cooperative
- probabilistic model
- random variables
- probabilistic inference
- conditional random fields
- probabilistic graphical models
- bayesian networks
- approximate inference
- college level
- language learning
- learning environment
- conditional independence
- markov networks
- concept learning
- belief networks
- problem based learning
- exact inference
- map inference
- learning community
- prior knowledge
- gaussian graphical models
- factor graphs
- message passing
- data analysis