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Density estimation using the perceptron

By Patrik Róbert Gerber and others
We propose a new density estimation algorithm. Given n i.i.d. samples from a distribution belonging to a class of densities on \mathbb{R}^d, our estimator outputs any density in the class whose ''perceptron discrepancy'' with the empirical distribution is at most O(\sqrt{d/n}). The perceptron discrepancy between two distributions is defined as... Show more
February 20, 2024
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Density estimation using the perceptron
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