Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models.
Alexander LinBahareh TolooshamsYves AtchadéDemba BaPublished in: CoRR (2023)
Keyphrases
- maximum likelihood estimation
- gaussian model
- expectation maximization
- em algorithm
- probabilistic model
- maximum likelihood
- latent variables
- parameter estimation
- generative model
- mixture model
- gaussian mixture model
- probability distribution
- conditional independence
- gaussian distribution
- density function
- bayesian networks
- computer vision
- unsupervised learning
- language model
- probability density function
- image intensity
- supervised learning
- bayesian framework
- skin color
- similarity measure