EM Converges for a Mixture of Many Linear Regressions.
Jeongyeol KwonConstantine CaramanisPublished in: AISTATS (2020)
Keyphrases
- expectation maximization
- mixture model
- linear model
- gaussian densities
- em algorithm
- gaussian mixture model
- maximum likelihood
- probabilistic model
- gaussian distribution
- unsupervised learning
- information retrieval
- mixture of gaussians
- generative model
- optimal solution
- bayesian framework
- probability density function
- density estimation
- bayesian networks
- gaussian mixture
- exponential family
- expectation maximisation
- image segmentation