A Stochastic Expectation-Maximization Approach to Shuffled Linear Regression.
Abubakar AbidJames Y. ZouPublished in: Allerton (2018)
Keyphrases
- linear regression
- expectation maximization
- em algorithm
- least squares
- regression problems
- regression methods
- ridge regression
- parameter estimation
- locally weighted
- kernel regression
- linear regression model
- maximum likelihood
- mixture model
- regret bounds
- generative model
- gaussian mixture model
- nonlinear regression
- probabilistic model
- regression method
- linear models
- gaussian mixture
- probability density function
- bayesian framework
- image segmentation
- regression trees
- maximum a posteriori
- loss bounds