Követés
Uri Shalit
Uri Shalit
Associate Professor, Tel Aviv University
E-mail megerősítve itt: tauex.tau.ac.il
Cím
Hivatkozott rá
Hivatkozott rá
Év
Estimating individual treatment effect: generalization bounds and algorithms
U Shalit, F Johansson, D Sontag
International Conference on Machine Learning, 3076-3085, 2017
12632017
Large scale online learning of image similarity through ranking
G Chechik, V Sharma, U Shalit, S Bengio
The Journal of Machine Learning Research 11, 1109-1135, 2010
10522010
Learning representations for counterfactual inference
F Johansson, U Shalit, D Sontag
International Conference on Machine Learning, 3020-3029, 2016
9232016
Causal effect inference with deep latent-variable models
C Louizos, U Shalit, JM Mooij, D Sontag, R Zemel, M Welling
Advances in Neural Information Processing Systems, 6446-6456, 2017
9162017
Structured inference networks for nonlinear state space models
R Krishnan, U Shalit, D Sontag
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
5682017
Deep Kalman Filters
RG Krishnan, U Shalit, D Sontag
arXiv preprint arXiv:1511.05121, 2015
4612015
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
V Dorie, J Hill, U Shalit, M Scott, D Cervone
Statistical Science 34 (1), 43-68, 2019
3972019
COVID-19 dynamics after a national immunization program in Israel
H Rossman, S Shilo, T Meir, M Gorfine, U Shalit, E Segal
Nature Medicine, 1-7, 2021
270*2021
Explaining classifiers with causal concept effect (cace)
Y Goyal, A Feder, U Shalit, B Kim
arXiv preprint arXiv:1907.07165, 2019
1912019
CausaLM: Causal model explanation through counterfactual language models
A Feder, N Oved, U Shalit, R Reichart
Computational Linguistics, 1-52, 2020
1802020
On calibration and out-of-domain generalization
Y Wald, A Feder, D Greenfeld, U Shalit
Advances in neural information processing systems 34, 2215-2227, 2021
1672021
Developing a COVID-19 mortality risk prediction model when individual-level data are not available
N Barda, D Riesel, A Akriv, J Levy, U Finkel, G Yona, D Greenfeld, ...
Nature Communications 11 (1), 1-9, 2020
1542020
Removing Hidden Confounding by Experimental Grounding
N Kallus, AM Puli, U Shalit
Advances in Neural Information Processing Systems, 10888-10897, 2018
1542018
A causal view of compositional zero-shot recognition
Y Atzmon, F Kreuk, U Shalit, G Chechik
Advances in Neural Information Processing Systems 33, 2020
1532020
An online algorithm for large scale image similarity learning
G Chechik, V Sharma, U Shalit, S Bengio
Advances in Neural Information Processing Systems 21, 306-314, 2009
1482009
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review
B Kenner, ST Chari, D Kelsen, DS Klimstra, SJ Pandol, M Rosenthal, ...
Pancreas 50 (3), 251-279, 2021
1472021
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
FD Johansson, U Shalit, N Kallus, D Sontag
Journal of Machine Learning Research 23 (166), 1-50, 2022
1292022
Hospital load and increased COVID-19 related mortality in Israel
H Rossman, T Meir, J Somer, S Shilo, R Gutman, AB Arie, E Segal, ...
Nature Communications 12 (1), 1-7, 2021
1062021
Socioeconomic disparities and COVID-19 vaccination acceptance: a nationwide ecologic study
G Caspi, A Dayan, Y Eshal, S Liverant-Taub, G Twig, U Shalit, Y Lewis, ...
Clinical Microbiology and Infection 27 (10), 1502-1506, 2021
992021
Learning Weighted Representations for Generalization Across Designs
FD Johansson, N Kallus, U Shalit, D Sontag
arXiv preprint arXiv:1802.08598, 2018
942018
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Cikkek 1–20