Concepedia

Shih-Kang Chao

SC

Statistics

Publications

8

Citations

250

H-Index

8

Active since

2012

Affiliations

Purdue University West Lafayette(Current)

University of Missouri

University of Toronto

Shih-Kang Chao is an author at Purdue University West Lafayette specializing in engineering, data science, and statistical inference.

Top concepts

EngineeringData ScienceStatisticsComputer ScienceMachine LearningStatistical InferenceDeep LearningImage AnalysisMachine VisionComputer Vision

Publications per year

2012–2020

8

Publications

8

Distributed inference for quantile regression processes

Stanislav Volgushev, Shih-Kang Chao, Guang Cheng · The Annals of Statistics · 2019 · 140 citations · Full text

Density Estimation, Engineering, Data Science +15

Quantile processes for semi and nonparametric regression

Shih-Kang Chao, Stanislav Volgushev, Guang Cheng · Electronic Journal of Statistics · 2017 · 24 citations · Full text

Econometric Model, Parameter Estimation, Engineering +13

A generalization of regularized dual averaging and its dynamics

Shih-Kang Chao, Guang Cheng · arXiv (Cornell University) · 2019 · 16 citations · Full text

Mathematical Programming, Engineering, Machine Learning +15

Directional Pruning of Deep Neural Networks

Shih-Kang Chao, Zhanyu Wang, Yue Xing et al. · Neural Information Processing Systems · 2020 · 15 citations

Training Loss, Pruning Method, Image Analysis +15

Quantile Regression in Risk Calibration

Shih-Kang Chao · SSRN Electronic Journal · 2012 · 15 citations · Full text

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