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Bounds represent the points with which data cannot exceed, such as minima or maxima.

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Concentration inequalities for weighted sums of gaussians

Suppose that $x \sim \cal{N}(0,I_d)$ be a $d$-dimensional standard Gaussian vector and let $x_1,\ldots,x_n$ denote $n$ i.i.d. samples drawn from the same distribution. For some fixed vector $\theta …
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