On Connecting Stochastic Gradient MCMC and Differential Privacy.
Bai LiChangyou ChenHao LiuLawrence CarinPublished in: AISTATS (2019)
Keyphrases
- stochastic gradient
- differential privacy
- differentially private
- privacy preserving
- markov chain monte carlo
- markov chain
- monte carlo
- stochastic gradient descent
- privacy preservation
- nearest neighbor classifier
- step size
- posterior distribution
- data sharing
- data privacy
- importance sampling
- personal information
- parameter estimation
- approximate inference
- search logs
- search engine
- least squares
- privacy preserving data mining
- bayesian inference
- graphical models