Differentially Private Bayesian Inference for Exponential Families.
Garrett BernsteinDaniel R. SheldonPublished in: NeurIPS (2018)
Keyphrases
- bayesian inference
- differentially private
- variational bayes
- exponential family
- variational inference
- hidden variables
- markov chain monte carlo
- probabilistic model
- differential privacy
- hyperparameters
- prior information
- graphical models
- maximum likelihood
- statistical inference
- log likelihood
- closed form
- missing values
- statistical models
- expectation propagation
- kl divergence
- particle filter
- mixture model
- data sets
- density estimation
- privacy preserving
- order statistics
- posterior distribution
- training data
- posterior probability
- knowledge discovery