Differentially private partitioned variational inference.
Mikko A. HeikkiläMatthew AshmanSiddharth SwaroopRichard E. TurnerAntti HonkelaPublished in: CoRR (2022)
Keyphrases
- differentially private
- variational inference
- bayesian inference
- topic models
- posterior distribution
- probabilistic graphical models
- gaussian process
- probabilistic model
- latent dirichlet allocation
- differential privacy
- variational methods
- mixture model
- exponential family
- closed form
- approximate inference
- probability distribution
- graphical models
- exact inference
- data mining
- particle filter
- generative model
- factor graphs
- prior information
- hyperparameters
- density estimation
- first order logic
- privacy preserving
- parameter estimation
- expectation maximization
- maximum likelihood
- text mining
- information retrieval