HaiYing Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Logistic Regression

Conditional Likelihood

Top Venues

J. Mach. Learn. Res.

Comput. Stat. Data Anal.

IEEE Trans. Inf. Theory

Publications

Haixiang Zhang, Lulu Zuo, HaiYing Wang, Liuquan Sun
Approximating Partial Likelihood Estimators via Optimal Subsampling. J. Comput. Graph. Stat. 33 (1) (2024)
Jing Wang, Jiahui Zou, HaiYing Wang
Sampling With Replacement vs Poisson Sampling: A Comparative Study in Optimal Subsampling. IEEE Trans. Inf. Theory 68 (10) (2022)
Jing Wang, Jiahui Zou, HaiYing Wang
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling. CoRR (2022)
HaiYing Wang, Jae Kwang Kim
Maximum sampled conditional likelihood for informative subsampling. J. Mach. Learn. Res. 23 (2022)
Haixiang Zhang, HaiYing Wang
Distributed subdata selection for big data via sampling-based approach. Comput. Stat. Data Anal. 153 (2021)
HaiYing Wang, Jiahui Zou
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling. AISTATS (2021)
Lulu Zuo, Haixiang Zhang, HaiYing Wang, Liuquan Sun
Optimal subsample selection for massive logistic regression with distributed data. Comput. Stat. 36 (4) (2021)
Jun Yu, HaiYing Wang, Mingyao Ai, Huiming Zhang
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. CoRR (2020)
HaiYing Wang, Jae Kwang Kim
Maximum sampled conditional likelihood for informative subsampling. CoRR (2020)
Haim Bar, HaiYing Wang
Reproducible Science with LaTeX. CoRR (2020)
JooChul Lee, HaiYing Wang, Elizabeth D. Schifano
Online updating method to correct for measurement error in big data streams. Comput. Stat. Data Anal. 149 (2020)
HaiYing Wang
Logistic Regression for Massive Data with Rare Events. CoRR (2020)
HaiYing Wang
More Efficient Estimation for Logistic Regression with Optimal Subsamples. J. Mach. Learn. Res. 20 (2019)