Ning, Yang

11 publications

JMLR 2025 DisC2o-HD: Distributed Causal Inference with Covariates Shift for Analyzing Real-World High-Dimensional Data Jiayi Tong, Jie Hu, George Hripcsak, Yang Ning, Yong Chen

JMLR 2025 Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data Yanxin Jin, Yang Ning, Kean Ming Tan

IJCAI 2025 Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection Yanchao Bi, Yang Ning, Xiushan Nie, Xiankai Lu, Yongshun Gong, Leida Li

JMLR 2022 Estimation and Inference on High-Dimensional Individualized Treatment Rule in Observational Data Using Split-and-Pooled De-Correlated Score Muxuan Liang, Young-Geun Choi, Yang Ning, Maureen A Smith, Ying-Qi Zhao

AISTATS 2021 Regression Discontinuity Design Under Self-Selection Sida Peng, Yang Ning

JMLR 2020 High-Dimensional Inference for Cluster-Based Graphical Models Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu

AAAI 2020 Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning

JMLR 2019 Efficient Augmentation and Relaxation Learning for Individualized Treatment Rules Using Observational Data Ying-Qi Zhao, Eric B. Laber, Yang Ning, Sumona Saha, Bruce E. Sands

AISTATS 2019 High-Dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference Huijie Feng, Yang Ning

JMLR 2018 On Semiparametric Exponential Family Graphical Models Zhuoran Yang, Yang Ning, Han Liu

NeurIPS 2015 High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu