10 citations · 17 across the 3 of their papers we have counts for
4 papers
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction
Wenlu Tang, Guohao Shen, Yuanyuan Lin +1
We propose a nonparametric quantile regression method using deep neural networks with a rectified linear unit penalty function to avoid quantile crossing. This penalty function is…
Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition
Guohao Shen, Yuling Jiao, Yuanyuan Lin +2
This paper considers the problem of nonparametric quantile regression under the assumption that the target conditional quantile function is a composition of a sequence of low-dimen…
Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen, Yuling Jiao, Yuanyuan Lin +1
In this paper, we study the properties of robust nonparametric estimation using deep neural networks for regression models with heavy tailed error distributions. We establish the n…
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks
Guohao Shen, Yuling Jiao, Yuanyuan Lin +1
In this paper, we consider the problem of binary classification with a class of general deep convolutional neural networks, which includes fully-connected neural networks and fully…