Wang, HaiYing

8 publications

JMLR 2025 Optimal Subsampling for High-Dimensional Partially Linear Models via Machine Learning Methods Yujing Shao, Lei Wang, Heng Lian, Haiying Wang

NeurIPS 2024 Scale-Invariant Optimal Sampling for Rare-Events Data and Sparse Models Jing Wang, HaiYing Wang, Hao Helen Zhang

JMLR 2022 Maximum Sampled Conditional Likelihood for Informative Subsampling HaiYing Wang, Jae Kwang Kim

AISTATS 2021 A Comparative Study on Sampling with Replacement vs Poisson Sampling in Optimal Subsampling HaiYing Wang, Jiahui Zou

NeurIPS 2021 Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data HaiYing Wang, Aonan Zhang, Chong Wang

ICML 2020 Logistic Regression for Massive Data with Rare Events Haiying Wang

JMLR 2019 More Efficient Estimation for Logistic Regression with Optimal Subsamples HaiYing Wang

IJCAI 2007 Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery Haiying Wang, Huiru Zheng, Francisco Azuaje