HaiYing Wang

23 papers A* 2A 1Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data.
Comput. Stat.
Haixiang Zhang, HaiYing Wang
2025 J jnl
A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models.
Technometrics
Jun Yu, HaiYing Wang, Mingyao Ai
2024 J jnl
Approximating Partial Likelihood Estimators via Optimal Subsampling.
J. Comput. Graph. Stat.
Haixiang Zhang, Lulu Zuo, HaiYing Wang, Liuquan Sun
2024 J jnl
Independence-Encouraging Subsampling for Nonparametric Additive Models.
J. Comput. Graph. Stat.
Yi Zhang, Lin Wang, Xiaoke Zhang, HaiYing Wang
2024 A* conf
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models.
NeurIPS
Jing Wang, HaiYing Wang, Hao Zhang
2024 J jnl
Subsampling Algorithms for Irregularly Spaced Autoregressive Models.
Algorithms
Jiaqi Liu, Ziyang Wang, HaiYing Wang, Nalini Ravishanker
2023 J jnl
Optimal Poisson Subsampling for Softmax Regression.
J. Syst. Sci. Complex.
Yaqiong Yao, Jiahui Zou, HaiYing Wang
2022 J jnl
Maximum sampled conditional likelihood for informative subsampling.
J. Mach. Learn. Res.
HaiYing Wang, Jae Kwang Kim
2022 J jnl
Sampling With Replacement vs Poisson Sampling: A Comparative Study in Optimal Subsampling.
IEEE Trans. Inf. Theory
Jing Wang, Jiahui Zou, HaiYing Wang
2022 J jnl
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling.
CoRR
Jing Wang, Jiahui Zou, HaiYing Wang
2021 A conf
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling.
AISTATS
HaiYing Wang, Jiahui Zou
2021 J jnl
Distributed subdata selection for big data via sampling-based approach.
Comput. Stat. Data Anal.
Haixiang Zhang, HaiYing Wang
2021 J jnl
Iterative Likelihood: A Unified Inference Tool.
J. Comput. Graph. Stat.
HaiYing Wang, Dixin Zhang, Hua Liang, David Ruppert
2021 J jnl
Most Likely Optimal Subsampled Markov Chain Monte Carlo.
J. Syst. Sci. Complex.
Guanyu Hu, HaiYing Wang
2021 J jnl
Optimal subsample selection for massive logistic regression with distributed data.
Comput. Stat.
Lulu Zuo, Haixiang Zhang, HaiYing Wang, Liuquan Sun
2020 A* conf
Logistic Regression for Massive Data with Rare Events.
ICML
HaiYing Wang
2020 J jnl
Logistic Regression for Massive Data with Rare Events.
CoRR
HaiYing Wang
2020 J jnl
Maximum sampled conditional likelihood for informative subsampling.
CoRR
HaiYing Wang, Jae Kwang Kim
2020 J jnl
Online updating method to correct for measurement error in big data streams.
Comput. Stat. Data Anal.
JooChul Lee, HaiYing Wang, Elizabeth D. Schifano
2020 J jnl
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data.
CoRR
Jun Yu, HaiYing Wang, Mingyao Ai, Huiming Zhang
2020 J jnl
Reproducible Science with LaTeX.
CoRR
Haim Bar, HaiYing Wang
2019 J jnl
More Efficient Estimation for Logistic Regression with Optimal Subsamples.
J. Mach. Learn. Res.
HaiYing Wang
2009 J jnl
Frequentist model averaging estimation: a review.
J. Syst. Sci. Complex.
HaiYing Wang, Xinyu Zhang, Guohua Zou