Importance Sampling over Sets: A New Probabilistic Inference Scheme.
Stefan HadjisStefano ErmonPublished in: UAI (2015)
Keyphrases
- probabilistic inference
- importance sampling
- approximate inference
- graphical models
- monte carlo
- bayesian networks
- conditional probabilities
- message passing
- belief networks
- markov chain
- markov chain monte carlo
- particle filter
- belief propagation
- particle filtering
- genetic algorithm
- random variables
- posterior probability
- kalman filter
- conditional random fields
- higher order
- computer vision
- machine learning