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David Sontag
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Cited by
Year
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
21262018
Character-aware neural language models
Y Kim, Y Jernite, D Sontag, AM Rush
Thirtieth AAAI Conference on Artificial Intelligence, 2016
21222016
Estimating individual treatment effect: generalization bounds and algorithms
U Shalit, F Johansson, D Sontag
Proceedings of the International Conference on Machine Learning (ICML), 2017
10572017
Learning Representations for Counterfactual Inference
FD Johansson, U Shalit, D Sontag
33rd International Conference on Machine Learning (ICML), 2016
8022016
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
7912017
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
6212007
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
5572013
Structured inference networks for nonlinear state space models
RG Krishnan, U Shalit, D Sontag
Thirty-First AAAI Conference on Artificial Intelligence, 2017
5192017
Why is my classifier discriminatory?
I Chen, FD Johansson, D Sontag
NeurIPS, 2018
4832018
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
4502017
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature medicine 25 (1), 16-18, 2019
4292019
Deep kalman filters
RG Krishnan, U Shalit, D Sontag
arXiv preprint arXiv:1511.05121, 2015
4222015
Learning Low-Dimensional Representations of Medical Concepts
Y Choi, CYI Chiu, D Sontag
Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2016
3672016
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
3142014
Learning Bayesian network structure using LP relaxations
T Jaakkola, D Sontag, A Globerson, M Meila
Proceedings of the thirteenth international conference on artificial …, 2010
2962010
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
2862017
Semi-amortized variational autoencoders
Y Kim, S Wiseman, AC Miller, D Sontag, AM Rush
ICML, 2018
2812018
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
2562015
Introduction to dual decomposition for inference
D Sontag, A Globerson, T Jaakkola
Optimization for Machine Learning, 2011
2502011
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Articles 1–20