Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo.
Yu-Xiang WangStephen E. FienbergAlexander J. SmolaPublished in: CoRR (2015)
Keyphrases
- monte carlo
- stochastic gradient
- markov chain monte carlo
- importance sampling
- adaptive sampling
- stochastic gradient descent
- markov chain
- nearest neighbor classifier
- particle filter
- step size
- probabilistic model
- bayesian framework
- point processes
- monte carlo tree search
- posterior distribution
- probability distribution
- variance reduction
- posterior probability
- parameter estimation
- machine learning