David Sontag
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
14342016
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
7042018
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
5592007
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
3912013
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
329*2008
Estimating individual treatment effect: generalization bounds and algorithms
U Shalit, F Johansson, D Sontag
Proceedings of the International Conference on Machine Learning (ICML), 2017
2512017
Learning Representations for Counterfactual Inference
FD Johansson, U Shalit, D Sontag
33rd International Conference on Machine Learning (ICML), 2016
2512016
Learning Bayesian network structure using LP relaxations
T Jaakkola, D Sontag, A Globerson, M Meila
Proceedings of the Thirteenth International Conference on Artificial …, 2010
2322010
Introduction to dual decomposition for inference
D Sontag, A Globerson, T Jaakkola
Optimization for Machine Learning, 2011
2272011
Structured inference networks for nonlinear state space models
RG Krishnan, U Shalit, D Sontag
Thirty-First AAAI Conference on Artificial Intelligence, 2017
2172017
Dual decomposition for parsing with non-projective head automata
T Koo, AM Rush, M Collins, T Jaakkola, D Sontag
Association for Computational Linguistics, 2010
2172010
On dual decomposition and linear programming relaxations for natural language processing
AM Rush, D Sontag, M Collins, T Jaakkola
Association for Computational Linguistics, 2010
2012010
Unsupervised learning of disease progression models
X Wang, D Sontag, F Wang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1962014
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
1812011
Deep kalman filters
RG Krishnan, U Shalit, D Sontag
arXiv preprint arXiv:1511.05121, 2015
1802015
Learning Low-Dimensional Representations of Medical Concepts
Y Choi, CYI Chiu, D Sontag
Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2016
1782016
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
1702017
New outer bounds on the marginal polytope
D Sontag, T Jaakkola
Advances in Neural Information Processing Systems 20, 1393-1400, 2007
1592007
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
1362015
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
1352017
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