B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit
ICML 2023
iCVS-Inferring Cardio-Vascular hidden States from physiological signals available at the bedside
Neta Ravid Tannenbaum, Omer Gottesman, Azadeh Assadi, Mjaye Mazwi, Uri Shalit, Danny Eytan
PLoS Computational Biology, 2023
Overfitting: Interpolation and Invariance are Fundamentally at Odds
Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon
ICLR 2023
What drives performance in machine learning models for predicting heart failure outcome?
Rom Gutman, Doron Aronson, Oren Caspi, Uri Shalit
European Heart Journal – Digital Health, 2022
Reinforcement Learning with a Terminator
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
NeurIPS 2022
Andrew Jesson, Alyson Douglas, Peter Manshausen, Nicolai Meinshausen, Philip Stier, Yarin Gal, Uri Shalit
NeurIPS 2022
Uri Shalit
INFORMS Journal on Data Science, 2022
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU
Bar Eini-Porat, Ofra Amir, Danny Eytan, Uri Shalit
Journal of Biomedical Informatics, 2022
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
ICLR 2022
Andrew Jesson, Panagiotis Tigas, Joost van Amersfoort, Andreas Kirsch, Uri Shalit, Yarin Gal
NeurIPS 2021
On Calibration and Out-of-domain Generalization
Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
NeurIPS 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Andrew Jesson, Sören Mindermann, Yarin Gal, Uri Shalit
ICML 2021
Junhyung Park, Uri Shalit, Bernhard Schölkopf, Krikamol Muandet
ICML 2021
COVID-19 dynamics after a national immunization program in Israel
Hagai Rossman, Smadar Shilo, Tomer Meir, Malka Gorfine, Uri Shalit, Eran Segal
Nature Medicine, 2021
Socioeconomic disparities and COVID-19 vaccination acceptance: a nationwide ecologic study
Gil Caspi, Avshalom Dayan, Yael Eshal, Sigal Liverant-Taub, Gilad Twig, Uri Shalit, Yair Lewis, Avi Shina, Oren Caspi
Clinical Microbiology and Infection, 2021
Hospital load and increased COVID-19 related mortality in Israel
Hagai Rossman, Tomer Meir, Jonathan Somer, Smadar Shilo, Rom Gutman, Asaf Ben Arie, Eran Segal, Uri Shalit, Malka Gorfine
Nature Communications volume 12, Article number: 1904, 2021
Michael Roimi, Rom Gutman, Jonathan Somer, Asaf Ben Arie, Ido Calman, Yaron Bar-Lavie, Udi Gelbshtein, Sigal Liverant-Taub, Arnona Ziv, Danny Eytan, Malka Gorfine, Uri Shalit
Journal of the American Medical Informatics Association, Volume 28, Issue 6, June 2021, Pages 1188–1196
Bandits with Partially Observable Offline Data
Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni
UAI 2021
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart
Journal of Computational Linguistics, 2021
Generative ODE Modeling with Known Unknowns
Ori Linial, Neta Ravid, Danny Eytan, Uri Shalit
Proceedings of the Conference on Health, Inference, and Learning (CHIL), 2021
Using deep networks for scientific discovery in physiological signals
Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit
ML4H: Proceedings of Machine Learning Research 126:1–24, 2020
Identifying Causal Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson, Sören Mindermann, Uri Shalit, Yarin Gal
NeurIPS 2020
A causal view of compositional zero-shot recognition
Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik
NeurIPS 2020
Can we learn individual-level treatment policies from clinical data?
Uri Shalit
Biostatistics 21 (2), 359-362, 2020
Developing a COVID-19 mortality risk prediction model when individual level data is not available
Noam Barda, Dan Riesel, Amichay Akriv, Joseph Levi, Uriah Finkel, Gal Yona, Daniel Greenfeld, Shimon Sheiba, Jonathan Somer, Eitan Bachmat, Guy N Rothblum, Uri Shalit, Doron Netzer, Ran Balicer, Noa Dagan
Nature Communications 11, 4439 (2020).
Robust learning with the Hilbert-Schmidt independence criterion
Daniel Greenfeld, Uri Shalit.
In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020
Code
Off-Policy Evaluation in Partially Observable Environments
Guy Tennenholtz, Shie Mannor, Uri Shalit
In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Harmonizing Fully Optimal Designs with Classic Randomization in Fixed Trial Experiments
The American Statistician, 1-12, 2020
Building Causal Graphs from Medical Literature and Electronic Medical Records
In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Learning Weighted Representations for Generalization Across Designs
2018
Removing Hidden Confounding by Experimental Grounding
In Proceedings of the 32nd International Conference on Neural Information Processing Systems, of NeurIPS’18, 2018
Statistical Science 34 (1), 43-68, 2018
Causal effect inference with deep latent-variable models
In Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017
Structured Inference Networks for Nonlinear State Space Models
In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Estimating individual treatment effect: generalization bounds and algorithms
In Proceedings of the 34th International Conference on Machine Learning (ICML), 2017
Learning representations for counterfactual inference
In Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016
2015
Learning Sparse Metrics, One Feature at a Time
Journal of Machine Learning Research, 2015
Coordinate-descent for learning orthogonal matrices through Givens rotations
In International Conference on Machine Learning (ICML), 2014
FuncISH: learning a functional representation of neural ISH images
Bioinformatics, 2013
Modeling Musical Influence with Topic Models
In Proceedings of the 30th International Conference on Machine Learning (ICML), 2013
Descending Systems Translate Transient Cortical Commands into a Sustained Muscle Activation Signal
Cerebral Cortex, 2012
Online Learning in the Embedded Manifold of Low-rank Matrices
Journal of Machine Learning Research (JMLR), 2012
Large scale online learning of image similarity through ranking
Journal of Machine Learning Research (JMLR), 2010
Online learning in the manifold of low-rank matrices
In Advances in Neural Information Processing Systems, 2010
An online algorithm for large scale image similarity learning
In Advances in Neural Information Processing Systems, 2009
Computation in spinal circuitry: Lessons from behaving primates
Behavioural Brain Research, 2008
Using topic modeling to detect and quantify semantic change
New Developments in the Quantitative Study of Languages