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Variance-based Regularization with Convex Objectives

Variance-based Regularization with Convex Objectives

圆圆
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We develop an approach to risk minimization and stochastic optimization that provides a convex surrogate for variance, allowing near-optimal and computationally efficient trading between approximation and estimation error.
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