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Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation
Published 6 Jun 2013 in cs.LG and stat.ML | (1306.1433v3)
Abstract: We give the proof of a tight lower bound on the probability that a binomial random variable exceeds its expected value. The inequality plays an important role in a variety of contexts, including the analysis of relative deviation bounds in learning theory and generalization bounds for unbounded loss functions.
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