Yulong Lu

activity

20152026

most citedA Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

34 citations · 212 across the 40 of their papers we have counts for

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Showing 2018 · math.PRShow all

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math.PR2018

On the rate of convergence of empirical measure in $\infty -$ Wasserstein distance for unbounded density function

Anning Liu, Jian-Guo Liu, Yulong Lu

We consider a sequence of identically independently distributed random samples from an absolutely continuous probability measure in one dimension with unbounded density. We establi…

On the rate of convergence of empirical measure in ∞−Wasserstein distance for unbounded density function

On the rate of convergence of empirical measure in $\infty -$ Wasserstein distance for unbounded density function