Liu, Molei

6 publications

ICML 2025 CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition Zebin Wang, Menghan Lin, Bolin Shen, Ken Anderson, Molei Liu, Tianxi Cai, Yushun Dong

ICML 2025 Knowledge-Guided Wasserstein Distributionally Robust Optimization Zitao Wang, Ziyuan Wang, Molei Liu, Nian Si

NeurIPS 2024 Covariate Shift Corrected Conditional Randomization Test Bowen Xu, Yiwen Huang, Chuan Hong, Shuangning Li, Molei Liu

JMLR 2023 Augmented Transfer Regression Learning with Semi-Non-Parametric Nuisance Models Molei Liu, Yi Zhang, Katherine P. Liao, Tianxi Cai

JMLR 2022 Prior Adaptive Semi-Supervised Learning with Application to EHR Phenotyping Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai

JMLR 2021 Integrative High Dimensional Multiple Testing with Heterogeneity Under Data Sharing Constraints Molei Liu, Yin Xia, Kelly Cho, Tianxi Cai