Keyphrases
- sparse representation
- group lasso
- regularized regression
- variable selection
- regression model
- basis pursuit
- high dimensional
- multiple kernel learning
- least squares
- bandit problems
- regression coefficients
- low rank
- convex optimization
- mixed norm
- model selection
- random sampling
- linear regression
- multi task
- elastic net
- compressed sensing
- multi label learning
- cross validation
- image classification
- signal processing
- contingency tables
- convex loss functions
- feature selection
- denoising
- face recognition
- efficient optimization
- high dimensional data
- negative matrix factorization
- regularization term
- regularization parameter
- generalized linear models
- learning algorithm
- markov chain
- online learning