Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models.
Garrett BernsteinRyan McKennaTao SunDaniel SheldonMichael HayGerome MiklauPublished in: ICML (2017)
Keyphrases
- graphical models
- undirected graphical models
- probabilistic graphical models
- conditional random fields
- probabilistic model
- random variables
- markov networks
- differentially private
- approximate inference
- belief propagation
- factor graphs
- probabilistic inference
- exact inference
- structure learning
- partition function
- hidden variables
- parameter learning
- structured prediction
- conditional independence
- bayesian networks
- chain graphs
- statistical inference
- statistical learning
- belief networks
- higher order
- hidden markov models
- lower bound