MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
Ian En-Hsu YenWei-Cheng LeeKai ZhongSung-En ChangPradeep RavikumarShou-De LinPublished in: NeurIPS (2018)
Keyphrases
- norm regularization
- convex optimization
- canonical correlation analysis
- regression model
- group lasso
- convex relaxation
- matrix completion
- regularization methods
- convex programming
- total variation
- low rank
- support vector regression
- model selection
- loss function
- linear regression
- convex sets
- multi class
- inverse problems
- kernel learning
- sparse representation
- piecewise linear
- gaussian processes
- support vector