Stochastic Expectation Maximization with Variance Reduction.
Jianfei ChenJun ZhuYee Whye TehTong ZhangPublished in: NeurIPS (2018)
Keyphrases
- variance reduction
- expectation maximization
- monte carlo
- em algorithm
- gradient estimation
- sample size
- importance sampling
- random numbers
- maximum likelihood
- bias variance decomposition
- probabilistic model
- quasi monte carlo
- markov chain
- image segmentation
- confidence intervals
- maximum a posteriori
- naive bayes classifier
- gaussian distribution
- computational complexity