High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality.
Zhaoran WangQuanquan GuYang NingHan LiuPublished in: NIPS (2015)
Keyphrases
- em algorithm
- high dimensional
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- deterministic annealing
- gaussian mixture model
- generative model
- expectation maximisation
- likelihood function
- finite mixture models
- maximum likelihood estimation
- mixture distribution
- normal distribution
- gaussian mixture
- mixture modeling
- maximum a posteriori
- hidden variables
- low dimensional
- log likelihood
- model based clustering
- incomplete data
- data points
- dimensionality reduction
- finite mixture model
- density estimation
- finite mixtures
- likelihood maximization
- image segmentation
- information theoretic
- probabilistic model
- k means
- hyperparameters
- variable selection
- high dimensional data
- unsupervised learning
- least squares
- penalized likelihood