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From Cauchy to Gaussian: Sharp Lower Deviations and Ehrhard-Type Inequality
We establish dimension-free, pointwise optimal lower-deviation bounds for convex functions under spherically symmetric Cauchy-type measures. These bounds use either mean-variance normalization or moments about the median, the latter covering the Cauchy case where the mean and variance are unavailabl
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