Articles with public access mandates - Uri ShalitLearn more
Available somewhere: 19
Estimating individual treatment effect: generalization bounds and algorithms
U Shalit, F Johansson, D Sontag
International Conference on Machine Learning, 3076-3085, 2017
Mandates: US National Science Foundation
Learning representations for counterfactual inference
F Johansson, U Shalit, D Sontag
International Conference on Machine Learning, 3020-3029, 2016
Mandates: US National Science Foundation
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
Mandates: Netherlands Organisation for Scientific Research, European Commission
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Institute of Education Sciences
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
Mandates: US National Science Foundation, European Commission
Removing Hidden Confounding by Experimental Grounding
N Kallus, AM Puli, U Shalit
Advances in Neural Information Processing Systems, 10888-10897, 2018
Mandates: US National Science Foundation
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
Mandates: US National Institutes of Health, Pancreatic Cancer Action Network, USA
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
Mandates: US National Science Foundation, US Department of Defense, Knut and Alice …
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
Mandates: US National Science Foundation
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study
M Roimi, R Gutman, J Somer, A Ben Arie, I Calman, Y Bar-Lavie, ...
Journal of the American Medical Informatics Association 28 (6), 1188-1196, 2021
Mandates: US National Science Foundation
Conditional distributional treatment effect with kernel conditional mean embeddings and U-statistic regression
J Park, U Shalit, B Schölkopf, K Muandet
International Conference on Machine Learning, 8401-8412, 2021
Mandates: Federal Ministry of Education and Research, Germany
Causal-BALD: Deep Bayesian active learning of outcomes to infer treatment-effects from observational data
A Jesson, P Tigas, J van Amersfoort, A Kirsch, U Shalit, Y Gal
Advances in Neural Information Processing Systems 34, 30465-30478, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Harmonizing Optimized Designs with Classic Randomization in Experiments
A Kapelner, AM Krieger, M Sklar, U Shalit, D Azriel
The American Statistician, 1-12, 2020
Mandates: US National Science Foundation
Scalable sensitivity and uncertainty analyses for causal-effect estimates of continuous-valued interventions
A Jesson, A Douglas, P Manshausen, M Solal, N Meinshausen, P Stier, ...
Advances in Neural Information Processing Systems 35, 13892-13907, 2022
Mandates: European Commission
B-learner: Quasi-oracle bounds on heterogeneous causal effects under hidden confounding
M Oprescu, J Dorn, M Ghoummaid, A Jesson, N Kallus, U Shalit
International Conference on Machine Learning, 26599-26618, 2023
Mandates: US National Science Foundation, US Department of Energy
Evaluating the heterogeneous effect of extended culture to blastocyst transfer on the implantation outcome via causal inference in fresh ICSI cycles
Y Kan-Tor, N Srebnik, M Gavish, U Shalit, A Buxboim
Journal of Assisted Reproduction and Genetics, 1-13, 2024
Mandates: European Commission
Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
A Balagopalan, I Baldini, LA Celi, J Gichoya, LG McCoy, T Naumann, ...
PLOS Digital Health 3 (4), e0000474, 2024
Mandates: Robert Wood Johnson Foundation
Rejoinder: Response to Discussions and a Look Ahead
V Dorie, J Hill, U Shalit, M Scott, D Cervone
Statistical Science 34 (1), 94-99, 2019
Mandates: US Institute of Education Sciences
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