Differentially Private Markov Chain Monte Carlo.
Mikko A. HeikkiläJoonas JälköOnur DikmenAntti HonkelaPublished in: NeurIPS (2019)
Keyphrases
- markov chain monte carlo
- differentially private
- generative model
- posterior distribution
- markov chain
- parameter estimation
- differential privacy
- bayesian inference
- approximate inference
- particle filter
- monte carlo
- posterior probability
- probability distribution
- particle filtering
- simulated annealing
- privacy preserving
- pairwise
- data association
- contingency tables
- object tracking
- message passing
- bayesian framework
- data sets
- conditional random fields
- higher order
- data mining