Shih-Kang Chao

According to our database, Shih-Kang Chao authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Balancing Approach for Causal Inference at Scale.

Sicheng Lin, Meng Xu, Xi Zhang, Shih-Kang Chao, Ying-Kai Huang, Xiaolin Shi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Distributed Bootstrap for Simultaneous Inference Under High Dimensionality.

Yang Yu, Shih-Kang Chao, Guang Cheng

J. Mach. Learn. Res., 2022

2020

Directional Pruning of Deep Neural Networks.

Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Simultaneous Inference for Massive Data: Distributed Bootstrap.

Yang Yu, Shih-Kang Chao, Guang Cheng

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A generalization of regularized dual averaging and its dynamics.

Shih-Kang Chao, Guang Cheng

CoRR, 2019

2018

Multivariate factorizable expectile regression with application to fMRI data.

Shih-Kang Chao, Wolfgang K. Härdle, Chen Huang

Comput. Stat. Data Anal., 2018