David Sontag

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Fredrik D. JohanssonAssociate Professor, Chalmers University of TechnologyVerified email at chalmers.se
Yoni HalpernGoogleVerified email at google.com
Steven HorngClinical Lead for Machine Learning, Beth Israel Deaconess Medical CenterVerified email at bidmc.harvard.edu
Uri ShalitAssociate Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Monica AgrawalAssistant Professor, DukeVerified email at duke.edu
Yoon KimAssistant Professor, MITVerified email at mit.edu
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
Tommi JaakkolaMITVerified email at csail.mit.edu
Hunter LangMITVerified email at mit.edu
Alexander M. RushAssociate Professor, Cornell UniversityVerified email at cornell.edu
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Rahul G. KrishnanUniversity of TorontoVerified email at cs.toronto.edu
Michael OberstJohns HopkinsVerified email at jhu.edu
Narges RazavianNew York University Medical CenterVerified email at nyumc.org
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoVerified email at berkeley.edu
Larry NathansonAssistant Professor of Emergency Medicine, Harvard Medical SchoolVerified email at bidmc.harvard.edu
Hussein MozannarMicrosoft ResearchVerified email at microsoft.com
Aaron Smith-McLallenDirector - Data Science & Health Care AnalyticsVerified email at ibx.com
Nathan ShapiroBeth Israel Deaconess MEdical CenterVerified email at bidmc.harvard.edu
Ryen W. WhiteGeneral Manager, Deputy Lab Director, Microsoft ResearchVerified email at microsoft.com

David Sontag

Professor, Massachusetts Institute of Technology

Verified email at csail.mit.edu - Homepage

Machine Learning Healthcare Artificial Intelligence Large Language Models Approximate Inference


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Recurrent neural networks for multivariate time series with missing values Z Che, S Purushotham, K Cho, D Sontag, Y Liu Scientific reports 8 (1), 6085, 2018	2242	2018
Character-aware neural language models Y Kim, Y Jernite, D Sontag, AM Rush Thirtieth AAAI Conference on Artificial Intelligence, 2016	2183	2016
Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag Proceedings of the International Conference on Machine Learning (ICML), 2017	1141	2017
Learning Representations for Counterfactual Inference FD Johansson, U Shalit, D Sontag 33rd International Conference on Machine Learning (ICML), 2016	852	2016
Causal Effect Inference with Deep Latent-Variable Models C Louizos, U Shalit, J Mooij, D Sontag, R Zemel, M Welling Neural Information Processing Systems (NIPS) 31, 2017	833	2017
BLOG: Probabilistic models with unknown objects B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov Introduction to statistical relational learning, 373, 2007	618	2007
A practical algorithm for topic modeling with provable guarantees S Arora, R Ge, Y Halpern, D Mimno, A Moitra, D Sontag, Y Wu, M Zhu Proceedings of the International Conference on Machine Learning (ICML), 280--288, 2013	556	2013
Structured inference networks for nonlinear state space models RG Krishnan, U Shalit, D Sontag Thirty-First AAAI Conference on Artificial Intelligence, 2017	536	2017
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag NeurIPS, 2018	511	2018
Learning a health knowledge graph from electronic medical records M Rotmensch, Y Halpern, A Tlimat, S Horng, D Sontag Scientific reports 7 (1), 5994, 2017	472	2017
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature medicine 25 (1), 16-18, 2019	455	2019
Deep kalman filters RG Krishnan, U Shalit, D Sontag arXiv preprint arXiv:1511.05121, 2015	435	2015
Learning Low-Dimensional Representations of Medical Concepts Y Choi, CYI Chiu, D Sontag Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2016	380	2016
Tightening LP relaxations for MAP using message passing D Sontag, T Meltzer, A Globerson, T Jaakkola, Y Weiss Uncertainty in Artificial Intelligence (UAI) 24, 2008	367*	2008
Unsupervised learning of disease progression models X Wang, D Sontag, F Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	320	2014
Large language models are few-shot clinical information extractors M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022	310	2022
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning S Horng, DA Sontag, Y Halpern, Y Jernite, NI Shapiro, LA Nathanson PloS one 12 (4), e0174708, 2017	298	2017
Learning Bayesian network structure using LP relaxations T Jaakkola, D Sontag, A Globerson, M Meila Proceedings of the thirteenth international conference on artificial …, 2010	296	2010
Semi-amortized variational autoencoders Y Kim, S Wiseman, AC Miller, D Sontag, AM Rush ICML, 2018	287	2018
Population-level prediction of type 2 diabetes from claims data and analysis of risk factors N Razavian, S Blecker, AM Schmidt, A Smith-McLallen, S Nigam, ... Big Data 3 (4), 277-287, 2015	266	2015

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