Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo.
Bao WangDifan ZouQuanquan GuStanley J. OsherPublished in: CoRR (2019)
Keyphrases
- stochastic gradient
- markov chain monte carlo
- parameter estimation
- markov chain
- generative model
- bayesian inference
- monte carlo
- posterior probability
- posterior distribution
- importance sampling
- approximate inference
- particle filter
- simulated annealing
- bayesian framework
- particle filtering
- data association
- probabilistic model
- graphical models
- least squares
- bayesian networks
- expectation maximization
- genetic algorithm
- gaussian process