Reduced-Rank Regression with Operator Norm Error.
Praneeth KachamDavid P. WoodruffPublished in: CoRR (2020)
Keyphrases
- error rate
- regression model
- model selection
- linear regression
- regression algorithm
- regression method
- support vector
- polynomial regression
- machine learning
- regression analysis
- sparse regression
- highly ranked
- relevance vector machine
- low rank approximation
- simple linear
- regression problems
- error analysis
- gaussian processes
- dimensionality reduction
- evolutionary algorithm
- multiscale