Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain. - George H. Chen; Evelina Fedorenko; Nancy Kanwisher; Polina Golland (MLINI, 2011)

Sparse Projections of Medical Images onto Manifolds. - George H. Chen; Christian Wachinger; Polina Golland (IPMI, 2013)

A Latent Source Model for Nonparametric Time Series Classification. - George H. Chen; Stanislav Nikolov; Devavrat Shah (NIPS, 2013)

A Latent Source Model for Online Time Series Classification - George H. Chen; Stanislav Nikolov; Devavrat Shah (CoRR, 2013)

A Latent Source Model for Online Collaborative Filtering. - Guy Bresler; George H. Chen; Devavrat Shah (NIPS, 2014)

A Latent Source Model for Patch-Based Image Segmentation. - George H. Chen; Devavrat Shah; Polina Golland (MICCAI (3), 2015)

Targeting Villages for Rural Development Using Satellite Image Analysis. - Kush R. Varshney; George H. Chen; Brian Abelson; Kendall Nowocin; Vivek Sakhrani; Ling Xu; Brian L. Spatocco (Big Data, 2015)

Latent source models for nonparametric inference. - George H. Chen (2015)

Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution. - George H. Chen; Kendall Nowocin; Niraj Marathe (ICTD, 2017)

Explaining the Success of Nearest Neighbor Methods in Prediction. - George H. Chen; Devavrat Shah (Found. Trends Mach. Learn., 2018)

Truck traffic monitoring with satellite images. - Lynn H. Kaack; George H. Chen; M. Granger Morgan (COMPASS, 2019)

Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates. - George H. Chen (ICML, 2019)

An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors. - Wei Ma; Kendall Nowocin; Niraj Marathe; George H. Chen (ICTD, 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 (NeurIPS, 2019)

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. - Helen Zhou; Cheng Cheng 001; Zachary C. Lipton; George H. Chen; Jeremy C. Weiss (AIME, 2020)

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

Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. - Helen Zhou; Cheng Cheng 001; Zachary C. Lipton; George H. Chen; Jeremy C. Weiss (CoRR, 2020)

Machine Learning for Consumers and Markets. - Wen Wang; Han Zhao 002; Dokyun Lee; George H. Chen (KDD, 2021)

TOD: Tensor-based Outlier Detection. - Yue Zhao 016; George H. Chen; Zhihao Jia (CoRR, 2021)

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

Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. - Shu Hu 001; George H. Chen (ML4H@NeurIPS, 2022)

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (NeurIPS, 2022)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; George H. Chen; Zhihao Jia; et al. (CoRR, 2022)

A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022. - Gerardo Flores; George H. Chen; Tom J. Pollard; Joyce C. Ho; Tristan Naumann (CoRR, 2022)

Benchmarking Node Outlier Detection on Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (CoRR, 2022)

TOD: GPU-accelerated Outlier Detection via Tensor Operations. - Yue Zhao 016; George H. Chen; Zhihao Jia (Proc. VLDB Endow., 2022)

A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information. - George H. Chen (CHIL, 2023)

Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. - Shahriar Noroozizadeh; Jeremy C. Weiss; George H. Chen (ML4H@NeurIPS, 2023)

Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. - Xiaobin Shen 002; Jonathan Elmer; George H. Chen (MLHC, 2023)

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. - Zheng Li; Yue Zhao 016; Xiyang Hu; Nicola Botta; Cezar Ionescu; George H. Chen (IEEE Trans. Knowl. Data Eng., 2023)

Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series. - Mingzhu Liu; Angela H. Chen; George H. Chen (ML4H@NeurIPS, 2024)

Improving Fairness in Deepfake Detection. - Yan Ju; Shu Hu 001; Shan Jia; George H. Chen; Siwei Lyu (WACV, 2024)

Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate. - George H. Chen; Linhong Li; Ren Zuo; Amanda Coston; Jeremy C. Weiss (Artif. Intell. Medicine, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes. - George H. Chen (Found. Trends Mach. Learn., 2024)

Fairness in Survival Analysis with Distributionally Robust Optimization. - Shu Hu 001; George H. Chen (J. Mach. Learn. Res., 2024)

Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee. - George H. Chen (J. Mach. Learn. Res., 2024)

Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online. - Emaad Manzoor; George H. Chen; Dokyun Lee; Michael D. Smith 002 (Manag. Sci., 2024)

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

PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus. - Shahriar Noroozizadeh; Sayantan Kumar; George H. Chen; Jeremy C. Weiss (CoRR, 2025)

Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients. - Xiaobin Shen 002; Jonathan Elmer; George H. Chen (CoRR, 2025)