Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models.
Garrett BernsteinRyan McKennaTao SunDaniel SheldonMichael HayGerome MiklauPublished in: CoRR (2017)
Keyphrases
- graphical models
- undirected graphical models
- probabilistic graphical models
- random variables
- belief propagation
- approximate inference
- probabilistic model
- exact inference
- conditional random fields
- differentially private
- structure learning
- probabilistic inference
- markov networks
- bayesian networks
- factor graphs
- belief networks
- conditional independence
- statistical inference
- chain graphs
- machine learning
- directed graphical models
- loopy belief propagation
- structured prediction
- gene regulatory networks
- latent variables
- higher order
- information retrieval