Universality laws for Gaussian mixtures in generalized linear models.
Yatin DandiLudovic StephanFlorent KrzakalaBruno LoureiroLenka ZdeborováPublished in: NeurIPS (2023)
Keyphrases
- gaussian mixture
- generalized linear models
- regression model
- logistic regression
- linear regression
- em algorithm
- closed form
- probability density function
- gaussian mixture model
- expectation maximization
- covariance matrix
- mixture model
- high dimensional
- density estimation
- model selection
- dirichlet process
- regression methods
- prior knowledge
- multiscale
- least squares
- low dimensional
- gaussian process
- dimensionality reduction