David Sontag

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	All	Since 2015
Citations	8392	6770
h-index	37	36
i10-index	69	65

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Co-authors

Yoni HalpernGoogleVerified email at google.com
Tommi JaakkolaMITVerified email at csail.mit.edu
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
Steven HorngInstructor of Emergency MedicineVerified email at bidmc.harvard.edu
Fredrik D. JohanssonAssistant Professor, Chalmers University of TechnologyVerified email at chalmers.se
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Uri ShalitAssistant Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Alexander M. RushAssociate Professor, Cornell UniversityVerified email at seas.harvard.edu
Yoon KimMIT-IBM Watson AI LabVerified email at seas.harvard.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
Brian MilchGoogle Inc.Verified email at csail.mit.edu
Nathan ShapiroBeth Israel Deaconess MEdical CenterVerified email at bidmc.harvard.edu
Ryen W. WhitePartner Research Manager, MicrosoftVerified 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
Andrey KolobovMicrosoft ResearchVerified email at microsoft.com
Bhaskara MarthiVerified email at csail.mit.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Ofer MeshiResearch Scientist at GoogleVerified email at google.com

David Sontag

Associate 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	1401	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	666	2018
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	551	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	379	2013
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	323*	2008
Learning Representations for Counterfactual Inference FD Johansson, U Shalit, D Sontag 33rd International Conference on Machine Learning (ICML), 2016	230	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	227	2017
Introduction to dual decomposition for inference D Sontag, A Globerson, T Jaakkola Optimization for Machine Learning, 2011	226	2011
Learning Bayesian network structure using LP relaxations T Jaakkola, D Sontag, A Globerson, M Meila Proceedings of the Thirteenth International Conference on Artificial …, 2010	226	2010
Dual decomposition for parsing with non-projective head automata T Koo, AM Rush, M Collins, T Jaakkola, D Sontag Association for Computational Linguistics, 2010	217	2010
Structured inference networks for nonlinear state space models RG Krishnan, U Shalit, D Sontag Thirty-First AAAI Conference on Artificial Intelligence, 2017	206	2017
On dual decomposition and linear programming relaxations for natural language processing AM Rush, D Sontag, M Collins, T Jaakkola Association for Computational Linguistics, 2010	201	2010
Unsupervised learning of disease progression models X Wang, D Sontag, F Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	191	2014
Personalizing web search results by reading level K Collins-Thompson, PN Bennett, RW White, S De La Chica, D Sontag Proceedings of the 20th ACM international conference on Information and …, 2011	176	2011
Learning Low-Dimensional Representations of Medical Concepts Y Choi, CYI Chiu, D Sontag Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2016	173	2016
Deep kalman filters RG Krishnan, U Shalit, D Sontag arXiv preprint arXiv:1511.05121, 2015	170	2015
New outer bounds on the marginal polytope D Sontag, T Jaakkola Advances in Neural Information Processing Systems 20, 1393-1400, 2007	154	2007
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	151	2017
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	130	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	120	2017

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