Convex Block-sparse Linear Regression with Expanders - Provably.
Anastasios KyrillidisBubacarr BahRouzbeh HasheminezhadQuoc Tran-DinhLuca BaldassarreVolkan CevherPublished in: AISTATS (2016)
Keyphrases
- linear regression
- sparse regression
- generalized linear models
- least squares
- regression problems
- coefficient matrix
- regression methods
- theoretical guarantees
- ridge regression
- convex optimization
- linear models
- nonlinear regression
- locally weighted
- sparse representation
- linear regression model
- kernel regression
- predictor variables
- loss bounds
- feature vectors
- worst case
- support vector machine svm
- logistic regression