Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation.
Hong Ye TanZiruo CaiMarcelo PereyraSubhadip MukherjeeJunqi TangCarola-Bibiane SchönliebPublished in: CoRR (2024)
Keyphrases
- maximum likelihood estimation
- maximum likelihood
- em algorithm
- minimum classification error
- supervised learning
- parameter estimation
- expectation maximization
- unsupervised learning
- mixture of gaussians
- log likelihood function
- multivariate gaussian
- density function
- training set
- mixture model
- density estimates
- boltzmann machine
- probability distribution
- least squares
- convex optimization
- training algorithm
- generative model
- semi supervised