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20132023
most citedDeep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors

11 citations · 41 across the 15 of their papers we have counts for

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2 papers · 1 filter

stat.ML2023

Wasserstein Generative Regression

Shanshan Song, Tong Wang, Guohao Shen +2

In this paper, we propose a new and unified approach for nonparametric regression and conditional distribution learning. Our approach simultaneously estimates a regression function…

stat.ML2023

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression

Guohao Shen, Yuling Jiao, Yuanyuan Lin +1

We study the properties of differentiable neural networks activated by rectified power unit (RePU) functions. We show that the partial derivatives of RePU neural networks can be re…