Journal of Machine Learning Research · 2011 · 11 citations · 0 references
ComputingComputer ScienceMachine LearningOptimizationStatistical LearningConvex OptimizationData MinimizationOptimization For Machine LearningRepresentation LearningSupervised LearningVariable SelectionEmpirical Risk ManagementOptimization For High-dimensional DataRegularizationSparse LearningSparse OptimizationSparsity ConstraintsSparsity Induction
We consider the empirical risk minimization problem for linear supervised learning, with regularization by structured sparsity-inducing norms. These are defined as sums of Euclidean norms on certai...