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Tal El-Hay
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2020 – today
- 2024
- [j3]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:
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network. J. Am. Medical Informatics Assoc. 31(5): 1051-1061 (2024) - 2022
- [c9]Tal El-Hay, Chen Yanover:
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics. CHIL 2022: 48-62 - [i6]Tal El-Hay, Chen Yanover:
Estimating Model Performance on External Samples from Their Limited Statistical Characteristics. CoRR abs/2202.13683 (2022)
2010 – 2019
- 2019
- [j2]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:
How the weather affects the pain of citizen scientists using a smartphone app. npj Digit. Medicine 2 (2019) - 2018
- [c8]Amit Gruber, Chen Yanover, Tal El-Hay, Anders Sönnerborg, Vanni Borghi, Francesca Incardona, Yaara Goldschmidt:
Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy. AISTATS 2018: 317-326 - [i5]Michal Ozery-Flato, Pierre Thodoroff, Tal El-Hay:
Adversarial Balancing for Causal Inference. CoRR abs/1810.07406 (2018) - 2014
- [c7]Erin Falconer, Tal El-Hay, Dimitrios Alevras, John Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi:
Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem. AMIA 2014 - [c6]Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona:
Structured Proportional Jump Processes. UAI 2014: 172-181 - 2013
- [i4]Tal El-Hay, Nir Friedman:
Incorporating Expressive Graphical Models in Variational Approximations: Chain-Graphs and Hidden Variables. CoRR abs/1301.2268 (2013) - 2012
- [i3]Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman:
Mean Field Variational Approximation for Continuous-Time Bayesian Networks. CoRR abs/1205.2655 (2012) - [i2]Tal El-Hay, Nir Friedman, Raz Kupferman:
Gibbs Sampling in Factorized Continuous-Time Markov Processes. CoRR abs/1206.3251 (2012) - [i1]Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman:
Continuous Time Markov Networks. CoRR abs/1206.6838 (2012) - 2011
- [b1]Tal El-Hay:
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.). Hebrew University of Jerusalem, Israel, 2011 - 2010
- [j1]Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman:
Mean Field Variational Approximation for Continuous-Time Bayesian Networks. J. Mach. Learn. Res. 11: 2745-2783 (2010) - [c5]Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman:
Continuous-Time Belief Propagation. ICML 2010: 343-350
2000 – 2009
- 2009
- [c4]Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman:
Mean Field Variational Approximation for Continuous-Time Bayesian Networks. UAI 2009: 91-100 - 2008
- [c3]Tal El-Hay, Nir Friedman, Raz Kupferman:
Gibbs Sampling in Factorized Continuous-Time Markov Processes. UAI 2008: 169-178 - 2006
- [c2]Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman:
Continuous Time Markov Networks. UAI 2006 - 2001
- [c1]Tal El-Hay, Nir Friedman:
Incorporating Expressive Graphical Models in VariationalApproximations: Chain-graphs and Hidden Variables. UAI 2001: 136-143
Coauthor Index
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