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20172023
most citedDeep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition

10 citations · 24 across the 11 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

math.ST2021★ 1 cited

Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data

Lan Luo, Ruijian Han, Yuanyuan Lin +1

In this paper we develop an online statistical inference approach for high-dimensional generalized linear models with streaming data for real-time estimation and inference. We prop…

math.ST2021★ 10 cited

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…

math.ST2021★ 6 cited

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…

stat.ME2021

Combining case-control studies for identifiability and efficiency improvement in logistic regression

Wenlu Tang, Yuanyuan Lin, Linlin Dai +1

Can two separate case-control studies, one about Hepatitis disease and the other about Fibrosis, for example, be combined together? It would be hugely beneficial if two or more sep…

math.ST2021★ 3 cited

Online Debiased Lasso for Streaming Data

Ruijian Han, Lan Luo, Yuanyuan Lin +1

We propose an online debiased lasso (ODL) method for statistical inference in high-dimensional linear models with streaming data. The proposed ODL consists of an efficient computat…

cs.LG2021

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…