Convergence guarantees for forward gradient descent in the linear regression model.
Thijs BosJohannes Schmidt-HieberPublished in: CoRR (2023)
Keyphrases
- linear regression model
- regression analysis
- regression model
- linear regression
- convergence proof
- update rule
- cost function
- convergence rate
- least squares
- error function
- operator splitting
- linear regression models
- iterative algorithms
- convergence speed
- objective function
- bi directional
- global convergence
- loss function
- feature extraction
- machine learning