Augment and Reduce: Stochastic Inference for Large Categorical Distributions.
Francisco J. R. RuizMichalis K. TitsiasAdji B. DiengDavid M. BleiPublished in: CoRR (2018)
Keyphrases
- probabilistic inference
- linear gaussian
- stochastic optimization
- boltzmann machines
- probability distribution
- categorical data
- stochastic processes
- bayesian model
- inference engine
- dirichlet process
- structured prediction
- kullback leibler divergence
- significantly reduced
- genetic algorithm
- gaussian distribution
- monte carlo
- markov chain
- k means
- expert systems