On Connecting Stochastic Gradient MCMC and Differential Privacy.
Bai LiChangyou ChenHao LiuLawrence CarinPublished in: CoRR (2017)
Keyphrases
- stochastic gradient
- differential privacy
- differentially private
- privacy preserving
- markov chain
- markov chain monte carlo
- monte carlo
- privacy preservation
- stochastic gradient descent
- posterior distribution
- data sharing
- bayesian inference
- nearest neighbor classifier
- particle filtering
- step size
- machine learning
- data privacy
- matrix factorization
- feature extraction