15 citations · 47 across the 30 of their papers we have counts for
30 papers
Online Deep Learning from Doubly-Streaming Data
Heng Lian, John Scovil Atwood, Bojian Hou +2
This paper investigates a new online learning problem with doubly-streaming data, where the data streams are described by feature spaces that constantly evolve, with new features e…
Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Xiaoyu Zhang, Di Wang, Heng Lian +1
Many panel data have the latent subgroup effect on individuals, and it is important to correctly identify these groups since the efficiency of resulting estimators can be improved…
High-dimensional vector autoregressive time series modeling via tensor decomposition
Di Wang, Yao Zheng, Heng Lian +1
The classical vector autoregressive model is a fundamental tool for multivariate time series analysis. However, it involves too many parameters when the number of time series and l…
Debiased distributed learning for sparse partial linear models in high dimensions
Shaogao Lv, Heng Lian
Although various distributed machine learning schemes have been proposed recently for pure linear models and fully nonparametric models, little attention has been paid on distribut…
Homogeneity Pursuit in Single Index Models based Panel Data Analysis
Heng Lian, Xinghao Qiao, Wenyang Zhang
Panel data analysis is an important topic in statistics and econometrics. Traditionally, in panel data analysis, all individuals are assumed to share the same unknown parameters, e…
Variable Selection and Estimation for Partially Linear Single-index Models with Longitudinal Data
Gaorong Li, Peng Lai, Heng Lian
In this paper, we consider the partially linear single-index models with longitudinal data. To deal with the variable selection problem in this context, we propose a penalized proc…