Differentially private partitioned variational inference.
Mikko A. HeikkiläMatthew AshmanSiddharth SwaroopRichard E. TurnerAntti HonkelaPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- differentially private
- variational inference
- bayesian inference
- topic models
- latent dirichlet allocation
- probabilistic model
- variational methods
- mixture model
- gaussian process
- posterior distribution
- differential privacy
- probabilistic graphical models
- closed form
- exponential family
- exact inference
- approximate inference
- latent variables
- factor graphs
- graphical models
- prior information
- privacy preserving
- generative model
- bayesian networks
- data sets
- optic flow
- particle filter
- level set
- semi supervised
- databases