Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models.
Alexander LinBahareh TolooshamsYves AtchadéDemba E. BaPublished in: ICML (2023)
Keyphrases
- maximum likelihood estimation
- gaussian model
- expectation maximization
- em algorithm
- probabilistic model
- maximum likelihood
- generative model
- mixture model
- parameter estimation
- latent variables
- gaussian mixture model
- gaussian distribution
- probability distribution
- conditional independence
- bayesian networks
- density function
- feature selection
- probability density function
- image intensity