متابعة
Uri Shalit
Uri Shalit
Associate Professor, Tel Aviv University
بريد إلكتروني تم التحقق منه على tauex.tau.ac.il
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Estimating individual treatment effect: generalization bounds and algorithms‏
U Shalit, F Johansson, D Sontag‏
International Conference on Machine Learning, 3076-3085, 2017‏
12872017
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
10562010
Learning representations for counterfactual inference‏
F Johansson, U Shalit, D Sontag‏
International Conference on Machine Learning, 3020-3029, 2016‏
9442016
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
9282017
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
5722017
Deep Kalman Filters‏
RG Krishnan, U Shalit, D Sontag‏
arXiv preprint arXiv:1511.05121, 2015‏
4582015
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
4002019
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
268*2021
Explaining classifiers with causal concept effect (cace)‏
Y Goyal, A Feder, U Shalit, B Kim‏
arXiv preprint arXiv:1907.07165, 2019‏
1932019
CausaLM: Causal model explanation through counterfactual language models‏
A Feder, N Oved, U Shalit, R Reichart‏
Computational Linguistics, 1-52, 2020‏
1792020
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
1682021
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
1562020
Removing Hidden Confounding by Experimental Grounding‏
N Kallus, AM Puli, U Shalit‏
Advances in Neural Information Processing Systems, 10888-10897, 2018‏
1562018
A causal view of compositional zero-shot recognition‏
Y Atzmon, F Kreuk, U Shalit, G Chechik‏
Advances in Neural Information Processing Systems 33, 2020‏
1522020
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
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
1462009
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
1362022
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
Learning Weighted Representations for Generalization Across Designs‏
FD Johansson, N Kallus, U Shalit, D Sontag‏
arXiv preprint arXiv:1802.08598, 2018‏
962018
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
952021
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مقالات 1–20