Chen, George H.

17 publications

MLHC 2025 Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients Xiaobin Shen, Jonathan Elmer, George H. Chen

CHIL 2025 The Impact of Medication Non-Adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis Shahriar Noroozizadeh, Pim Welle, Jeremy Weiss, George H. Chen

FnTML 2024 An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes George H. Chen

JMLR 2024 Fairness in Survival Analysis with Distributionally Robust Optimization Shu Hu, George H. Chen

NeurIPSW 2024 Generalized Prompt Tuning: How to Use a Frozen Pre-Trained Univariate Time Series Foundation Model for Multivariate Time Series Prediction Mingzhu Liu, Angela Chen, George H. Chen

WACV 2024 Improving Fairness in Deepfake Detection Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu

JMLR 2024 Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee George H. Chen

CHIL 2023 A General Framework for Visualizing Embedding Spaces Of\titlebreak Neural Survival Analysis Models Based on Angular Information George H Chen

MLHC 2023 Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks Xiaobin Shen, Jonathan Elmer, George H. Chen

NeurIPS 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H Chen, Zhihao Jia, Philip S Yu

CHIL 2022 Conference on Health, Inference, and Learning (CHIL) 2022 Gerardo Flores, George H Chen, Tom Pollard, Ayah Zirikly, Michael C Hughes, Tasmie Sarker, Joyce C Ho, Tristan Naumann

MLHC 2020 Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals George H. Chen

ICLR 2020 Topic Models with Survival Supervision: Archetypal Analysis and Neural Approaches George H. Chen, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss

NeurIPS 2019 Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption Wei Ma, George H Chen

FnTML 2018 Explaining the Success of Nearest Neighbor Methods in Prediction George H. Chen, Devavrat Shah

NeurIPS 2014 A Latent Source Model for Online Collaborative Filtering Guy Bresler, George H Chen, Devavrat Shah

NeurIPS 2013 A Latent Source Model for Nonparametric Time Series Classification George H Chen, Stanislav Nikolov, Devavrat Shah