Tal El-Hay

Orcid: 0000-0002-2156-1558

According to our database1, Tal El-Hay authored at least 14 papers between 2001 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network.
J. Am. Medical Informatics Assoc., 2024

2022
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics.
Proceedings of the Conference on Health, Inference, and Learning, 2022

2019
How the weather affects the pain of citizen scientists using a smartphone app.
npj Digit. Medicine, 2019

2018
Adversarial Balancing for Causal Inference.
CoRR, 2018

Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2014
Structured Proportional Jump Processes.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem.
Proceedings of the AMIA 2014, 2014

2013
Incorporating Expressive Graphical Models in Variational Approximations: Chain-Graphs and Hidden Variables
CoRR, 2013

2011
Reasoning about structured stochastic systems in continuous-time (עם תקציר בעברית ושער נוסף: הסקה הסתברותית במערכות דינמיות מורכבות בזמן-רציף.; שער נוסף בעברית: הסקה הסתברותית במערכות דינמיות מורכבות בזמן-רציף.).
PhD thesis, 2011

2010
Mean Field Variational Approximation for Continuous-Time Bayesian Networks.
J. Mach. Learn. Res., 2010

Continuous-Time Belief Propagation.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2008
Gibbs Sampling in Factorized Continuous-Time Markov Processes.
Proceedings of the UAI 2008, 2008

2006
Continuous Time Markov Networks.
Proceedings of the UAI '06, 2006

2001
Incorporating Expressive Graphical Models in VariationalApproximations: Chain-graphs and Hidden Variables.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001


  Loading...