Private Posterior distributions from Variational approximations.
Vishesh KarwaDan KiferAleksandra B. SlavkovicPublished in: CoRR (2015)
Keyphrases
- posterior distribution
- free energy
- variational approximation
- latent variables
- probability distribution
- variational inference
- bayesian learning
- parameter estimation
- bayesian framework
- hyperparameters
- variational methods
- markov chain monte carlo
- bayesian model
- maximum a posteriori
- posterior probability
- markov chain monte carlo methods
- gaussian distribution
- probabilistic model
- expectation propagation
- gaussian process
- metropolis hastings
- bayesian inference
- closed form
- machine learning
- upper bound
- maximum likelihood
- model selection
- exact inference
- noise reduction
- approximate inference
- random sampling
- prior information
- belief propagation
- cross validation
- text mining
- pairwise
- support vector