Uri Shalit

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David SontagProfessor, Massachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu
Gal ChechikNVIDIA, Bar Ilan UniversityAdresse e-mail validée de biu.ac.il
Fredrik D. JohanssonAssociate Professor, Chalmers University of TechnologyAdresse e-mail validée de chalmers.se
Malka GorfineTel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
Jonathan SomerTechnion UniversityAdresse e-mail validée de campus.technion.ac.il
Samy BengioSenior Director, AI and Machine Learning Research, AppleAdresse e-mail validée de apple.com
Smadar shiloWeizmann institute of scienceAdresse e-mail validée de weizmann.ac.il
Hagai RossmanWeizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Eran SegalProfessor of Computer Science, Weizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Tomer MeirMachine Learning ResearcherAdresse e-mail validée de campus.technion.ac.il
Daniel GreenfeldJether Energy ResearchAdresse e-mail validée de jether-energy.com
Nathan KallusCornell UniversityAdresse e-mail validée de cornell.edu
Rahul G. KrishnanUniversity of TorontoAdresse e-mail validée de cs.toronto.edu
Andrew JessonOATML, University of OxfordAdresse e-mail validée de cs.ox.ac.uk
Amir FederColumbia University, GoogleAdresse e-mail validée de columbia.edu
Danny EytanTechnionAdresse e-mail validée de technion.ac.il
Daphna WeinshallProfessor of Computer Science, Hebrew UniversityAdresse e-mail validée de cs.huji.ac.il
Dan CervoneZelus AnalyticsAdresse e-mail validée de zelusanalytics.com
Rom GutmanTechnionAdresse e-mail validée de campus.technion.ac.il
Yarin GalAssociate Professor, University of OxfordAdresse e-mail validée de cs.ox.ac.uk

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Uri Shalit

Associate Professor, Technion - Israel Institute of Technology

Adresse e-mail validée de technion.ac.il - Page d'accueil

Machine Learning Causality Artificial Intelligence Causal Inference Machine Learning in


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag International Conference on Machine Learning, 3076-3085, 2017	1156	2017
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	1018	2010
Learning representations for counterfactual inference F Johansson, U Shalit, D Sontag International Conference on Machine Learning, 3020-3029, 2016	861	2016
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	840	2017
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	538	2017
Deep Kalman Filters RG Krishnan, U Shalit, D Sontag arXiv preprint arXiv:1511.05121, 2015	436	2015
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	368	2019
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	262*	2021
Explaining classifiers with causal concept effect (cace) Y Goyal, A Feder, U Shalit, B Kim arXiv preprint arXiv:1907.07165, 2019	178	2019
CausaLM: Causal model explanation through counterfactual language models A Feder, N Oved, U Shalit, R Reichart Computational Linguistics, 1-52, 2020	152	2020
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	150	2021
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	150	2020
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	148	2009
Removing Hidden Confounding by Experimental Grounding N Kallus, AM Puli, U Shalit Advances in Neural Information Processing Systems, 10888-10897, 2018	139	2018
A causal view of compositional zero-shot recognition Y Atzmon, F Kreuk, U Shalit, G Chechik Advances in Neural Information Processing Systems 33, 2020	129	2020
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	126	2021
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	112	2022
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	97	2021
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	95	2021
Off-Policy Evaluation in Partially Observable Environments. G Tennenholtz, S Mannor, U Shalit AAAI, 10276-10283, 2020	87	2020

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