Uri Shalit

About Uri Shalit

Uri Shalit, With an exceptional h-index of 30 and a recent h-index of 28 (since 2020), a distinguished researcher at Technion - Israel Institute of Technology, specializes in the field of Machine Learning, Causality, Artificial Intelligence, Causal Inference, Machine Learning in Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Aiming for Relevance

Evaluating the heterogeneous effect of extended culture to blastocyst transfer on the implantation outcome via causal inference in fresh ICSI cycles

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

iCVS-Inferring Cardio-Vascular hidden States from physiological signals available at the bedside

B-learner: Quasi-oracle bounds on heterogeneous causal effects under hidden confounding

What drives performance in machine learning models for predicting heart failure outcome?

Reinforcement learning with a terminator

Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

Uri Shalit Information

University

Position

Assistant Professor

Citations(all)

6839

Citations(since 2020)

5737

Cited By

2698

hIndex(all)

30

hIndex(since 2020)

28

i10Index(all)

43

i10Index(since 2020)

39

Email

University Profile Page

Technion - Israel Institute of Technology

Google Scholar

View Google Scholar Profile

Uri Shalit Skills & Research Interests

Machine Learning

Causality

Artificial Intelligence

Causal Inference

Machine Learning in Healthcare

Top articles of Uri Shalit

Title

Journal

Author(s)

Publication Date

Aiming for Relevance

arXiv preprint arXiv:2403.18668

Bar Eini Porat

Danny Eytan

Uri Shalit

2024/3/27

Evaluating the heterogeneous effect of extended culture to blastocyst transfer on the implantation outcome via causal inference in fresh ICSI cycles

Journal of Assisted Reproduction and Genetics

Yoav Kan-Tor

Naama Srebnik

Matan Gavish

Uri Shalit

Amnon Buxboim

2024/2/7

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

PLOS Digital Health

Aparna Balagopalan

Ioana Baldini

Leo Anthony Celi

Judy Gichoya

Liam G McCoy

...

2024/4/15

iCVS-Inferring Cardio-Vascular hidden States from physiological signals available at the bedside

PLoS Computational Biology

Neta Ravid Tannenbaum

Omer Gottesman

Azadeh Assadi

Mjaye Mazwi

Uri Shalit

...

2023/9/5

B-learner: Quasi-oracle bounds on heterogeneous causal effects under hidden confounding

40th International Conference on Machine Learning (ICML)

Miruna Oprescu

Jacob Dorn

Marah Ghoummaid

Andrew Jesson

Nathan Kallus

...

2023/4/20

What drives performance in machine learning models for predicting heart failure outcome?

European Heart Journal-Digital Health

Rom Gutman

Doron Aronson

Oren Caspi

Uri Shalit

2023/5

Reinforcement learning with a terminator

Advances in Neural Information Processing Systems

Guy Tennenholtz

Nadav Merlis

Lior Shani

Shie Mannor

Uri Shalit

...

2022/12/6

Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

Journal of Machine Learning Research

Fredrik D. Johansson

Uri Shalit

Nathan Kallus

David Sontag

2022

Scalable sensitivity and uncertainty analyses for causal-effect estimates of continuous-valued interventions

Advances in Neural Information Processing Systems

Andrew Jesson

Alyson Douglas

Peter Manshausen

Maëlys Solal

Nicolai Meinshausen

...

2022/12/6

Malign Overfitting: Interpolation Can Provably Preclude Invariance

arXiv preprint arXiv:2211.15724

Yoav Wald

Gal Yona

Uri Shalit

Yair Carmon

2022/11/28

Tell Me Something Interesting: Clinical Utility of Machine Learning Prediction Models in the ICU

Journal of Biomedical Informatics

Bar Eini-Porat

Ofra Amir

Danny Eytan

Uri Shalit

2022/8/1

Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same… and Why It Matters”

INFORMS Journal on Data Science

Uri Shalit

2022/3/10

Generative ODE modeling with known unknowns

Ori Linial

Neta Ravid

Danny Eytan

Uri Shalit

2021/4/8

Socioeconomic disparities and COVID-19 vaccination acceptance: a nationwide ecologic study

Clinical Microbiology and Infection

Gil Caspi

Avshalom Dayan

Yael Eshal

Sigal Liverant-Taub

Gilad Twig

...

2021/10/1

Hospital load and increased COVID-19 related mortality in Israel

Nature communications

Hagai Rossman

Tomer Meir

Jonathan Somer

Smadar Shilo

Rom Gutman

...

2021/3/26

Quantifying ignorance in individual-level causal-effect estimates under hidden confounding

Andrew Jesson

Sören Mindermann

Yarin Gal

Uri Shalit

2021

Causal-BALD: Deep Bayesian active learning of outcomes to infer treatment-effects from observational data

Advances in Neural Information Processing Systems

Andrew Jesson

Panagiotis Tigas

Joost van Amersfoort

Andreas Kirsch

Uri Shalit

...

2021/12/6

Corporate Social Responsibility via Multi-Armed Bandits

Tom Ron

Omer Ben-Porat

Uri Shalit

2021/3/3

Conditional distributional treatment effect with kernel conditional mean embeddings and U-statistic regression

Junhyung Park

Uri Shalit

Bernhard Schölkopf

Krikamol Muandet

2021/7/1

On calibration and out-of-domain generalization

Advances in neural information processing systems

Yoav Wald

Amir Feder

Daniel Greenfeld

Uri Shalit

2021/12/6

See List of Professors in Uri Shalit University(Technion - Israel Institute of Technology)

Co-Authors

H-index: 103
Eran Segal

Eran Segal

Weizmann Institute of Science

H-index: 85
Shie Mannor

Shie Mannor

Technion - Israel Institute of Technology

H-index: 52
Daphna Weinshall

Daphna Weinshall

Hebrew University of Jerusalem

H-index: 51
Gal Chechik

Gal Chechik

Bar-Ilan University

H-index: 50
David Sontag

David Sontag

Massachusetts Institute of Technology

H-index: 38
Nathan Kallus

Nathan Kallus

Cornell University

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