Improved Convergence for $\ell_1$ and $\ell_∞$ Regression via Iteratively Reweighted Least Squares.
Alina EneAdrian VladuPublished in: ICML (2019)
Keyphrases
- reweighted least squares
- sparse representation
- learning problems
- polynomial regression
- real valued
- regression model
- faster convergence
- genetic programming
- regularization term
- model selection
- least squares
- neural network
- cost function
- support vector regression
- regression methods
- regression algorithm
- multi objective
- aggregating algorithm
- feature extraction