Rao-Blackwellized Stochastic Gradients for Discrete Distributions.
Runjing LiuJeffrey RegierNilesh TripuraneniMichael I. JordanJon D. McAuliffePublished in: ICML (2019)
Keyphrases
- kullback leibler divergence
- efficient algorithms to compute
- markov processes
- stochastic processes
- finite number
- hopfield neural network
- stochastic process
- learning automata
- linear gaussian
- weibull distribution
- multivariate gaussian
- discrete version
- discrete geometry
- stochastic programming
- stochastic optimization
- normal distribution
- monte carlo
- random variables
- probability distribution
- continuous attributes
- data sets
- continuous domains
- stochastic models
- joint distribution
- markov chain
- multi class