Shih-Kang Chao

Statistics

Publications

Citations

257

H-Index

Active since

2012

Affiliations

Purdue University West Lafayette(Current)

University of Missouri

University of Toronto

National Yang Ming Chiao Tung University

Shih-Kang Chao is an author at Purdue University West Lafayette specializing in quantile regression, optimization for machine learning, and computing.

ORCID

Publications per year

2012–2020

Publications

Distributed inference for quantile regression processes

Stanislav Volgushev, Shih-Kang Chao, Guang Cheng · The Annals of Statistics · 2019 · 146 citations · Full text

Natural Sciences, High-performance Computing, Parallel Computing +11

Quantile processes for semi and nonparametric regression

Shih-Kang Chao, Stanislav Volgushev, Guang Cheng · Electronic Journal of Statistics · 2017 · 25 citations · Full text

Natural Sciences, Economics, Econometrics +14

A generalization of regularized dual averaging and its dynamics

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

Computing, Computer Science, 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

Computing, Computer Science, Computer Vision +15

Quantile Regression in Risk Calibration

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

Management, Finance, Risk Management +14

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