David Sontag - Google Scholar Citations

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Yoni HalpernPhD Student, New York UniversityVerified email at cs.nyu.edu
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
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Fredrik D. JohanssonAssistant Professor, Chalmers University of TechnologyVerified email at chalmers.se
Alexander M. RushAssociate Professor, Cornell UniversityVerified email at seas.harvard.edu
Uri ShalitAssistant Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Narges RazavianNew York University Medical CenterVerified email at nyumc.org
Brian MilchGoogle Inc.Verified email at csail.mit.edu
Larry NathansonAssistant Professor of Emergency Medicine, Harvard Medical SchoolVerified email at bidmc.harvard.edu
Nathan ShapiroBeth Israel Deaconess MEdical CenterVerified email at bidmc.harvard.edu
Ryen W. WhitePartner Research Manager, MicrosoftVerified email at microsoft.com
Paul N. BennettPrincipal Researcher / Research Manager, Microsoft Research AIVerified email at microsoft.com
Kevyn Collins-ThompsonAssociate Professor, University of MichiganVerified email at acm.org
Yoon KimPhD Student, Harvard UniversityVerified email at seas.harvard.edu
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


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Character-aware neural language models Y Kim, Y Jernite, D Sontag, AM Rush Thirtieth AAAI Conference on Artificial Intelligence, 2016	1167	2016
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	525	2007
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	499	2018
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	336	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	310*	2008
Introduction to dual decomposition for inference D Sontag, A Globerson, T Jaakkola Optimization for Machine Learning, 2011	215	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	214	2010
Dual decomposition for parsing with non-projective head automata T Koo, AM Rush, M Collins, T Jaakkola, D Sontag Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010	206	2010
On dual decomposition and linear programming relaxations for natural language processing AM Rush, D Sontag, M Collins, T Jaakkola Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010	189	2010
Learning Representations for Counterfactual Inference FD Johansson, U Shalit, D Sontag 33rd International Conference on Machine Learning (ICML), 2016	183	2016
Unsupervised learning of disease progression models X Wang, D Sontag, F Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	174	2014
Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag Proceedings of the International Conference on Machine Learning (ICML), 2017	170	2017
Structured inference networks for nonlinear state space models RG Krishnan, U Shalit, D Sontag Thirty-First AAAI Conference on Artificial Intelligence, 2017	167	2017
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	166	2011
New outer bounds on the marginal polytope D Sontag, T Jaakkola Advances in Neural Information Processing Systems 20, 1393-1400, 2007	152	2007
Learning Low-Dimensional Representations of Medical Concepts Y Choi, CYI Chiu, D Sontag Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2016	144	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	117	2017
Probabilistic models for personalizing web search D Sontag, K Collins-Thompson, PN Bennett, RW White, S Dumais, ... Proceedings of the fifth ACM international conference on Web search and data …, 2012	109	2012
Complexity of inference in latent Dirichlet allocation D Sontag, DM Roy Neural Information Processing Systems (NIPS) 24, 2011	109*	2011
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	103	2015

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