10 citations · 33 across the 15 of their papers we have counts for
4 papers · 1 filter
Deep Generative Survival Analysis: Nonparametric Estimation of Conditional Survival Function
Xingyu Zhou, Wen Su, Changyu Liu +3
We propose a deep generative approach to nonparametric estimation of conditional survival and hazard functions with right-censored data. The key idea of the proposed method is to f…
A Deep Generative Approach to Conditional Sampling
Xingyu Zhou, Yuling Jiao, Jin Liu +1
We propose a deep generative approach to sampling from a conditional distribution based on a unified formulation of conditional distribution and generalized nonparametric regressio…
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…