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Multiscale regression on unknown manifolds


Jan 13, 2021
Wenjing Liao, Mauro Maggioni, Stefano Vigogna


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Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks


Nov 03, 2020
Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao


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Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation


Feb 10, 2020
Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao


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Learning functions varying along an active subspace


Jan 22, 2020
Hao Liu, Wenjing Liao

* 37 pages, 13 figures 

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Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds


Aug 05, 2019
Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao


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Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data


Jul 18, 2017
Wenjing Liao, Mauro Maggioni


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