摘要:Approximation analysis of Pareto optimization,proposed an analysis framework,can be the best approximation algorithm,Apply to subset selection,selective ensemble problem: Pareto ensemble pruning,sparse regression problem: Pareto sparse regression,Well parallelizable algorithm,With theoretical justifications, we aim at solving learningproblems better.With increasing number of processors, the number of iterations can becontinuously reduced, eventually to a constant.