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Shih-Kang Chao
Shih-Kang Chao
Machine Learning Scientist
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Title
Cited by
Cited by
Year
Distributed inference for quantile regression processes
S Volgushev, SK Chao, G Cheng
Annals of Statistics 47 (3), 1634-1662, 2019
1392019
Quantile regression in risk calibration
SK Chao, WK Härdle, W Wang
Handbook of Financial Econometrics and Statistics, 1467-1489, 2015
542015
Directional pruning of deep neural networks
SK Chao, Z Wang, Y Xing, G Cheng
Advances in neural information processing systems 33, 13986-13998, 2020
402020
Quantile Process for Semi and Nonparametric Regression Models
SK Chao, S Volgushev, G Cheng
Electronic Journal of Statistics 11 (2), 3272-3331, 2017
30*2017
Quantile regression in risk calibration
SK Chao
Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2015
302015
A generalization of regularized dual averaging and its dynamics
SK Chao, G Cheng
ArXiv preprint arXiv:1909.10072, 2019
212019
Factorisable multitask quantile regression
SK Chao, WK Härdle, M Yuan
Econometric Theory, 2020
19*2020
Simultaneous Inference for Massive Data: Distributed Bootstrap
Y Yu, SK Chao, G Cheng
International Conference on Machine Learning 119, 2020
162020
Distributed bootstrap for simultaneous inference under high dimensionality
Y Yu, SK Chao, G Cheng
Journal of Machine Learning Research 23 (195), 1-77, 2022
132022
Confidence corridors for multivariate generalized quantile regression
SK Chao, K Proksch, H Dette, WK Härdle
Journal of Business & Economic Statistics 35 (1), 70-85, 2017
112017
Multivariate Factorizable Expectile Regression with Application to fMRI Data
SK Chao, W Hardle, C Huang
Computational Statistics & Data Analysis 121, 1-19, 2018
72018
A note on the impact of news on US household inflation expectations
W B. Z., J Sheen, S Truck, SK Chao, W Hardle
Macroeconomic Dynamics 24 (4), 995-1015, 2018
6*2018
Simultaneous inference for the partially linear model with a multivariate unknown function when the covariates are measured with errors
KH Kim, SK Chao, WK Härdle
SFB 649 Discussion Paper 2016-024, 2016
4*2016
On high dimensional post-regularization prediction intervals
SK Chao, Y Ning, H Liu
Technical report, arXiv, 2015
32015
Balancing Approach for Causal Inference at Scale
S Lin, M Xu, X Zhang, SK Chao, YK Huang, X Shi
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
12023
Discussion on “Of quantiles and expectiles: consistent scoring functions, Choquet representation and forecast rankings”
SK Chao, G Cheng
2016
Credit Risk Calibration based on CDS Spreads
SK Chao, WK Härdle, PT Hien
SFB 649 Discussion Paper 2014-026, 2014
2014
Kun Ho Kim* Shih-Kang Chao* ² Wolfgang K. Härdle
SK Chao
FASTEC-FActorizable Sparse Tail Event Curves
SK Chao, WK Härdle, M Yuan
SUPPLEMENT TO PAPER: DISTRIBUTED INFERENCE FOR QUANTILE REGRESSION PROCESSES
S Volgushev, SK Chao, G Cheng
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