Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models.
Amrita Roy ChowdhuryTheodoros RekatsinasSomesh JhaPublished in: CoRR (2019)
Keyphrases
- data dependent
- parameter learning
- bayesian networks
- conditional random fields
- structure learning
- statistical learning
- generative model
- graphical models
- maximum likelihood
- em algorithm
- approximate inference
- probabilistic graphical models
- markov random field
- parameter estimation
- expectation maximization
- factor graphs
- hidden variables
- belief propagation
- least squares