Uri Shalit

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Gal ChechikBar Ilan University, NVIDIAVerified email at biu.ac.il
David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Fredrik D. JohanssonAssistant Professor, Chalmers University of TechnologyVerified email at chalmers.se
Malka GorfineTel Aviv UniversityVerified email at post.tau.ac.il
Jonathan SomerTechnion UniversityVerified email at campus.technion.ac.il
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com
Smadar shiloWeizmann institute of scienceVerified email at weizmann.ac.il
Hagai RossmanWeizmann Institute of ScienceVerified email at weizmann.ac.il
Eran SegalProfessor of Computer Science, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Tomer MeirMachine Learning ResearcherVerified email at campus.technion.ac.il
Rahul G. KrishnanUniversity of TorontoVerified email at cs.toronto.edu
Daphna WeinshallProfessor of Computer Science, Hebrew UniversityVerified email at cs.huji.ac.il
Nathan KallusCornell UniversityVerified email at cornell.edu
Daniel GreenfeldJether Energy ResearchVerified email at jether-energy.com
Amir FederColumbia University, GoogleVerified email at columbia.edu
Danny EytanTechnionVerified email at technion.ac.il
Dan CervoneZelus AnalyticsVerified email at zelusanalytics.com
Rom GutmanTechnionVerified email at campus.technion.ac.il
Andrew JessonOATML, University of OxfordVerified email at cs.ox.ac.uk
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il

Uri Shalit

Assistant Professor, Technion - Israel Institute of Technology

Verified email at technion.ac.il - Homepage

Machine Learning Causality Artificial Intelligence Causal Inference Machine Learning in Healthcare


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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	909	2010
Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag International Conference on Machine Learning, 3076-3085, 2017	749	2017
Learning representations for counterfactual inference F Johansson, U Shalit, D Sontag International Conference on Machine Learning, 3020-3029, 2016	610	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	574	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	428	2017
Deep Kalman Filters RG Krishnan, U Shalit, D Sontag arXiv preprint arXiv:1511.05121, 2015	356	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	257	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	233*	2021
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	143	2009
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	115	2020
Explaining classifiers with causal concept effect (cace) Y Goyal, A Feder, U Shalit, B Kim arXiv preprint arXiv:1907.07165, 2019	110	2019
Removing Hidden Confounding by Experimental Grounding N Kallus, AM Puli, U Shalit Advances in Neural Information Processing Systems, 10888-10897, 2018	98	2018
CausaLM: Causal model explanation through counterfactual language models A Feder, N Oved, U Shalit, R Reichart Computational Linguistics, 1-52, 2020	83	2020
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	81	2021
Online Learning in the Embedded Manifold of Low-rank Matrices U Shalit, D Weinshall, G Chechik Journal of Machine Learning Research 13, 429-458, 2012	78	2012
A causal view of compositional zero-shot recognition Y Atzmon, F Kreuk, U Shalit, G Chechik Advances in Neural Information Processing Systems 33, 2020	76	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	72	2021
Learning Weighted Representations for Generalization Across Designs FD Johansson, N Kallus, U Shalit, D Sontag arXiv preprint arXiv:1802.08598, 2018	70	2018
Off-Policy Evaluation in Partially Observable Environments. G Tennenholtz, S Mannor, U Shalit AAAI, 10276-10283, 2020	62	2020
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	60	2022

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