Jeremy C. Weiss

60 papers A* 5A 1B 3C 1Misc 4Journal 29Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
C-kNN-LSH: A Nearest-Neighbor Algorithm for Sequential Counterfactual Inference.
CoRR
Jing Wang, Jie Shen, Qiaomin Xie, Jeremy C. Weiss
2026 A* conf
Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare.
AAAI
Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss
2026 J jnl
Immunological Density Shapes Recovery Trajectories in Long COVID.
CoRR
Jing Wang, Tong Zhang, Xing Niu, Jie Shen, Yiming Luo, Qiaomin Xie, Amar Sra, Zorina Galis, Jeremy C. Weiss
2026 J jnl
LLM-Augmented Computational Phenotyping of Long Covid.
CoRR
Jing Wang, Jie Shen, Amar Sra, Qiaomin Xie, Jeremy C. Weiss
2026 J jnl
Optimal Budgeted Adaptation of Large Language Models.
CoRR
Jing Wang, Jie Shen, Dean Foster, Zohar Karnin, Jeremy C. Weiss
2026 J jnl
Predicting Trajectories of Long COVID in Adult Women: The Critical Role of Causal Disentanglement.
CoRR
Jing Wang, Jie Shen, Yiming Luo, Amar Sra, Qiaomin Xie, Jeremy C. Weiss
2026 J jnl
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis.
CoRR
Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss, George H. Chen
2025 J jnl
A Large-Language Model Framework for Relative Timeline Extraction from PubMed Case Reports.
CoRR
Jing Wang, Jeremy C. Weiss
2025 J jnl
Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2.
CoRR
Jing Wang, Amar Sra, Jeremy C. Weiss
2025 J jnl
Fairness amidst non-IID graph data: A literature review.
AI Mag.
Wenbin Zhang, Shuigeng Zhou, Toby Walsh, Jeremy C. Weiss
2025 J jnl
Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families.
CoRR
Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss
2025 J jnl
MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction.
CoRR
Jing Wang, Xing Niu, Juyong Kim, Jie Shen, Tong Zhang, Jeremy C. Weiss
2025 J jnl
Metric-Fair Prompting: Treating Similar Samples Similarly.
CoRR
Jing Wang, Jie Shen, Xing Niu, Tong Zhang, Jeremy C. Weiss
2025 J jnl
PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus.
CoRR
Shahriar Noroozizadeh, Sayantan Kumar, George H. Chen, Jeremy C. Weiss
2025 J jnl
Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis.
CoRR
Shahriar Noroozizadeh, Jeremy C. Weiss
2025 J jnl
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.
CoRR
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025 — conf
The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis.
CHIL
Shahriar Noroozizadeh, Pim Welle, Jeremy C. Weiss, George H. Chen
2025 J jnl
The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis.
CoRR
Shahriar Noroozizadeh, Pim Welle, Jeremy C. Weiss, George H. Chen
2024 J jnl
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate.
Artif. Intell. Medicine
George H. Chen, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss
2024 — conf
Using Multimodal Data to Improve Precision of Inpatient Event Timelines.
PKDD (4)
Gabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, Diego Salazar, Smitha Edakalavan, Jeremy C. Weiss
2023 A* conf
Censored Fairness through Awareness.
AAAI
Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss
2023 J jnl
Fair Decision-making Under Uncertainty.
CoRR
Wenbin Zhang, Jeremy C. Weiss
2023 J jnl
Fairness with censorship and group constraints.
Knowl. Inf. Syst.
Wenbin Zhang, Jeremy C. Weiss
2023 J jnl
Individual Fairness Guarantee in Learning with Censorship.
CoRR
Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss
2023 A conf
Individual Fairness Under Uncertainty.
ECAI
Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss
2023 — conf
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression.
ML4H@NeurIPS
Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
2023 J jnl
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression.
CoRR
Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
2023 — conf
Typed Markers and Context for Clinical Temporal Relation Extraction.
MLHC
Cheng Cheng, Jeremy C. Weiss
2022 — conf
AnEMIC: A Framework for Benchmarking ICD Coding Models.
EMNLP (Demos)
Juyong Kim, Abheesht Sharma, Suhas Shanbhogue, Jeremy C. Weiss, Pradeep Ravikumar
2022 — conf
Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence.
CHIL
Juyong Kim, Jeremy C. Weiss, Pradeep Ravikumar
2022 J jnl
Fairness Amidst Non-IID Graph Data: A Literature Review.
CoRR
Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh
2022 Misc conf
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.
AMIA
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
2022 J jnl
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.
CoRR
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
2022 A* conf
Longitudinal Fairness with Censorship.
AAAI
Wenbin Zhang, Jeremy C. Weiss
2022 J jnl
Longitudinal Fairness with Censorship.
CoRR
Wenbin Zhang, Jeremy C. Weiss
2021 B conf
Disentangled Hyperspherical Clustering for Sepsis Phenotyping.
AIME
Cheng Cheng, Jason N. Kennedy, Christopher W. Seymour, Jeremy C. Weiss
2021 — conf
FARF: A Fair and Adaptive Random Forests Classifier.
PAKDD (2)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
2021 J jnl
FARF: A Fair and Adaptive Random Forests Classifier.
CoRR
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
2021 A* conf
Fair Decision-making Under Uncertainty.
ICDM
Wenbin Zhang, Jeremy C. Weiss
2021 — conf
Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk.
SPACA
Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss
2021 Misc conf
Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data.
AMIA
Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton
2021 — conf
Wavelet Reconstruction Networks for Marked Point Processes.
SPACA
Jeremy C. Weiss
2020 — conf
Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches.
ML4H@NeurIPS
Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar
2020 B conf
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning.
AIME
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2020 B conf
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate.
AIME
Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
2020 J jnl
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate.
CoRR
Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
2020 J jnl
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning.
CoRR
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2020 — conf
TL-Lite: Temporal Visualization and Learning for Clinical Forecasting.
ML4H@NeurIPS
Jeremy C. Weiss
2019 J jnl
Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction.
CoRR
Yoonjung Kim, Jeremy C. Weiss
2019 Misc conf
Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data.
AMIA
Nathanael Fillmore, Sergey Goryachev, Jeremy C. Weiss
2018 — conf
Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning.
AIH@IJCAI
Nathanael Fillmore, Ansh Mehta, Jeremy C. Weiss
2017 — conf
Piecewise-constant parametric approximations for survival learning.
MLHC
Jeremy C. Weiss
2015 A* conf
Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks.
AAAI
Jeremy C. Weiss, Sriraam Natarajan, C. David Page Jr.
2015 Misc conf
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.
AMIA
Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page
2013 — conf
Forest-Based Point Process for Event Prediction from Electronic Health Records.
ECML/PKDD (3)
Jeremy C. Weiss, David Page
2013 — conf
Learning When to Reject an Importance Sample.
AAAI (Late-Breaking Developments)
Jeremy C. Weiss, Sriraam Natarajan, C. David Page Jr.
2013 — conf
Maps for Reasoning in Ultimate.
MLSA@PKDD/ECML
Jeremy C. Weiss, Sean Childers
2012 J jnl
Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records.
AI Mag.
Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
2012 — conf
Multiplicative Forests for Continuous-Time Processes.
NIPS
Jeremy C. Weiss, Sriraam Natarajan, David Page
2012 C conf
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.
IAAI
Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page