Model-free Variable Selection via Learning Gradients

WANG, Junhui (Principal Investigator / Project Coordinator)

Department of Data Science

Project: Research

6 RGC 21 - Publication in refereed journal

6 results

2018
GRADIENT-INDUCED MODEL-FREE VARIABLE SELECTION WITH COMPOSITE QUANTILE REGRESSION
He, X., Wang, J. & Lv, S., Jul 2018, In: Statistica Sinica. 28, 3, p. 1521-1538
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Open Access
File
3 Citations (Scopus)

61 Downloads (CityUHK Scholars)
2017
A unified penalized method for sparse additive quantile models: an RKHS approach
Lv, S., He, X. & Wang, J., Aug 2017, In: Annals of the Institute of Statistical Mathematics. 69, 4, p. 897-923
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
6 Citations (Scopus)
Reduced-rank multi-label classification
Yuan, T. & Wang, J., Jan 2017, In: Statistics and Computing. 27, 1, p. 181-191
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
2016
Classification With Unstructured Predictors and an Application to Sentiment Analysis
Wang, J., Shen, X., Sun, Y. & Qu, A., 2016, In: Journal of the American Statistical Association. 111, 515, p. 1242-1253
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
14 Citations (Scopus)
Model-free Variable Selection in Reproducing Kernel Hilbert Space
Yang, L., Lv, S. & Wang, J., May 2016, In: Journal of Machine Learning Research. 17, 82.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Open Access
36 Citations (Scopus)
2015
Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy
Xu, T., Fang, Y., Rong, A. & Wang, J., 2015, In: BMC Medical Research Methodology. 15, 94.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Open Access
File
38 Citations (Scopus)

79 Downloads (CityUHK Scholars)

Model-free Variable Selection via Learning Gradients

Research output

Search results

GRADIENT-INDUCED MODEL-FREE VARIABLE SELECTION WITH COMPOSITE QUANTILE REGRESSION

A unified penalized method for sparse additive quantile models: an RKHS approach

Reduced-rank multi-label classification

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Model-free Variable Selection in Reproducing Kernel Hilbert Space

Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy