Develops sharp concentration inequalities under finite Lp moments extending McDiarmid's bounded differences, then derives high-probability generalization bounds for ERM, transductive regression, and meta-learning under Lp stability.
Combinatorics, Probability and Computing , author=
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Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments
Develops sharp concentration inequalities under finite Lp moments extending McDiarmid's bounded differences, then derives high-probability generalization bounds for ERM, transductive regression, and meta-learning under Lp stability.