Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models.
Amrita Roy ChowdhuryTheodoros RekatsinasSomesh JhaPublished in: ICML (2020)
Keyphrases
- data dependent
- parameter learning
- bayesian networks
- structure learning
- conditional random fields
- statistical learning
- graphical models
- maximum likelihood
- generative model
- approximate inference
- em algorithm
- parameter estimation
- probabilistic graphical models
- markov random field
- expectation maximization
- factor graphs
- hidden variables
- data sets
- higher order
- probabilistic model