HaiYing Wang - RankMe

23 papers A* 2A 1Journal 20

Year	Rank	Type	Title / 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