Stochastic Approximation with Biased MCMC for Expectation Maximization.
Samuel GruffazKyurae KimAlain DurmusJacob R. GardnerPublished in: AISTATS (2024)
Keyphrases
- stochastic approximation
- expectation maximization
- monte carlo
- em algorithm
- markov chain monte carlo
- generative model
- posterior distribution
- parameter estimation
- markov chain
- mixture model
- probabilistic model
- maximum likelihood
- k means
- bayesian framework
- maximum a posteriori
- bayesian inference
- temporal difference learning
- image segmentation
- supply chain
- random variables
- optimal solution
- reinforcement learning