David Sontag

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Yoni HalpernGoogleVerified email at google.com
Fredrik D. JohanssonAssistant Professor, Chalmers University of TechnologyVerified email at chalmers.se
Steven HorngClinical Lead for Machine Learning, Beth Israel Deaconess Medical CenterVerified email at bidmc.harvard.edu
Tommi JaakkolaMITVerified email at csail.mit.edu
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
Uri ShalitAssistant Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Alexander M. RushAssociate Professor, Cornell UniversityVerified email at seas.harvard.edu
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Yoon KimAssistant Professor, MITVerified email at mit.edu
Rahul G. KrishnanUniversity of TorontoVerified email at cs.toronto.edu
Narges RazavianNew York University Medical CenterVerified email at nyumc.org
Larry NathansonAssistant Professor of Emergency Medicine, Harvard Medical SchoolVerified email at bidmc.harvard.edu
Irene Y. ChenPostdoc, Microsoft ResearchVerified email at csail.mit.edu
Michael OberstMITVerified email at mit.edu
Monica AgrawalPhD Student, MIT CSAILVerified email at mit.edu
Nathan ShapiroBeth Israel Deaconess MEdical CenterVerified email at bidmc.harvard.edu
Brian MilchGoogleVerified email at csail.mit.edu
Ryen W. WhiteGeneral Manager, Microsoft ResearchVerified email at microsoft.com
Paul N. BennettPartner Research Manager, Microsoft ResearchVerified email at microsoft.com
Kevyn Collins-ThompsonAssociate Professor, University of MichiganVerified email at acm.org

David Sontag

Professor, Massachusetts Institute of Technology

Verified email at csail.mit.edu - Homepage

Machine Learning Graphical Models Artificial Intelligence Approximate Inference Healthcare


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Character-aware neural language models Y Kim, Y Jernite, D Sontag, AM Rush Thirtieth AAAI Conference on Artificial Intelligence, 2016	1884	2016
Recurrent neural networks for multivariate time series with missing values Z Che, S Purushotham, K Cho, D Sontag, Y Liu Scientific reports 8 (1), 1-12, 2018	1452	2018
Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag Proceedings of the International Conference on Machine Learning (ICML), 2017	629	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	595	2007
Learning Representations for Counterfactual Inference FD Johansson, U Shalit, D Sontag 33rd International Conference on Machine Learning (ICML), 2016	522	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	482	2017
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	482	2013
Structured inference networks for nonlinear state space models RG Krishnan, U Shalit, D Sontag Thirty-First AAAI Conference on Artificial Intelligence, 2017	384	2017
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	360*	2008
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag NeurIPS, 2018	319	2018
Deep kalman filters RG Krishnan, U Shalit, D Sontag arXiv preprint arXiv:1511.05121, 2015	318	2015
Learning a health knowledge graph from electronic medical records M Rotmensch, Y Halpern, A Tlimat, S Horng, D Sontag Scientific reports 7 (1), 1-11, 2017	316	2017
Unsupervised learning of disease progression models X Wang, D Sontag, F Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	281	2014
Learning Low-Dimensional Representations of Medical Concepts Y Choi, CYI Chiu, D Sontag Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2016	277	2016
Learning Bayesian network structure using LP relaxations T Jaakkola, D Sontag, A Globerson, M Meila Proceedings of the Thirteenth International Conference on Artificial …, 2010	273	2010
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature medicine 25 (1), 16-18, 2019	269	2019
Introduction to dual decomposition for inference D Sontag, A Globerson, T Jaakkola Optimization for Machine Learning, 2011	245	2011
Dual decomposition for parsing with non-projective head automata T Koo, AM Rush, M Collins, T Jaakkola, D Sontag Association for Computational Linguistics, 2010	228	2010
Semi-amortized variational autoencoders Y Kim, S Wiseman, AC Miller, D Sontag, AM Rush ICML, 2018	220	2018
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	218	2017

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