Variational Tempering.
Stephan MandtJames McInerneyFarhan AbrolRajesh RanganathDavid M. BleiPublished in: AISTATS (2016)
Keyphrases
- bayesian inference
- restricted boltzmann machine
- markov chain monte carlo
- probabilistic model
- hyperparameters
- image segmentation
- prior information
- posterior distribution
- markov chain
- conditional random fields
- variational methods
- deep learning
- monte carlo
- parameter estimation
- particle filter
- hidden variables
- markov networks
- semi supervised
- optical flow
- free energy
- neural network
- generative model
- learning algorithm