Non-asymptotic lower and upper bounds on minimal risk in statistical learning are derived from concentration inequalities under relaxed integrability conditions on the risk functions.
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Non-asymptotic estimates of the minimal risk in statistical learning
Non-asymptotic lower and upper bounds on minimal risk in statistical learning are derived from concentration inequalities under relaxed integrability conditions on the risk functions.