Tal El-Hay

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network.

Behzad Naderalvojoud, Catherine M. Curtin, Chen Yanover, Tal El-Hay, Byungjin Choi, Rae Woong Park, Javier Gracia-Tabuenca, Mary Pat Reeve, Thomas Falconer, Keith Humphreys, Steven M. Asch, Tina Hernandez-Boussard

J. Am. Medical Informatics Assoc., 2024

2022

Estimating Model Performance on External Samples from Their Limited Statistical Characteristics.

Tal El-Hay, Chen Yanover

Proceedings of the Conference on Health, Inference, and Learning, 2022

2019

How the weather affects the pain of citizen scientists using a smartphone app.

William G. Dixon, Anna L. Beukenhorst, Belay Birlie Yimer, Louise Cook, Antonio Gasparrini, Tal El-Hay, Bruce Hellman, Ben James, Ana M. Vicedo-Cabrera, Malcolm Maclure, Ricardo Silva, John D. Ainsworth, Huai Leng Pisaniello, Thomas A. House, Mark Lunt, Carolyn Gamble, Caroline Sanders, David M. Schultz, Jamie C. Sergeant, John McBeth

npj Digit. Medicine, 2019

2018

Adversarial Balancing for Causal Inference.

Michal Ozery-Flato, Pierre Thodoroff, Tal El-Hay

CoRR, 2018

Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy.

Amit Gruber, Chen Yanover, Tal El-Hay, Anders Sönnerborg, Vanni Borghi, Francesca Incardona, Yaara Goldschmidt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2014

Structured Proportional Jump Processes.

Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem.

Erin Falconer, Tal El-Hay, Dimitrios Alevras, John Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi

Proceedings of the AMIA 2014, 2014

2013

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

Tal El-Hay, Nir Friedman

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.).

Tal El-Hay

PhD thesis, 2011

2010

Mean Field Variational Approximation for Continuous-Time Bayesian Networks.

Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman

J. Mach. Learn. Res., 2010

Continuous-Time Belief Propagation.

Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2008

Gibbs Sampling in Factorized Continuous-Time Markov Processes.

Tal El-Hay, Nir Friedman, Raz Kupferman

Proceedings of the UAI 2008, 2008

2006

Continuous Time Markov Networks.

Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman

Proceedings of the UAI '06, 2006

2001

Incorporating Expressive Graphical Models in VariationalApproximations: Chain-graphs and Hidden Variables.

Tal El-Hay, Nir Friedman

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001