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In machine and data mining,optimization is a very important problem.In this talk,we introduce optimization problems in machine learning,and describe three non-convex optimization algorithms: an algorithm for decomposable non-convex regularization,an algorithm for feature selection in multi-task learning,and an adaptive algorithm for non-convex regularization.