p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets.
Alexander MunteanuSimon OmlorChristian PetersPublished in: AISTATS (2022)
Keyphrases
- maximum likelihood estimation
- maximum likelihood
- em algorithm
- parameter estimation
- minimum classification error
- proximal point
- probability distribution
- expectation maximization
- regression model
- mixture of gaussians
- boltzmann machine
- multivariate gaussian
- model selection
- probability density
- computer vision
- log likelihood function
- pairwise
- image segmentation