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Optimal convex optimization under Tsybakov noise through reduction to active learning We demonstrate that the complexity of convex minimization is only determined by the rate of growth of the function around its minimizer, as quantified by a Tsybakov-like noise condition (TNC) with exponent k. Specifically, we demonstrate optimal first-order ...
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