Uri Shalit
33 papers · 2009–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Uri Shalit?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Andrew Jesson, David Sontag, Yarin Gal
11 papers
· 2016–2024
· NeurIPS, ICML, JMLR
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When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
NeurIPS 2024
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
ICML 2023
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
JMLR 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
NeurIPS 2022
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
NeurIPS 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
ICML 2021
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
NeurIPS 2020
Removing Hidden Confounding by Experimental Grounding
NeurIPS 2018
Causal Effect Inference with Deep Latent-Variable Models
NeurIPS 2017
Estimating individual treatment effect: generalization bounds and algorithms
ICML 2017
Learning Representations for Counterfactual Inference
ICML 2016
8 papers whose co-authors appear nowhere else under this name
BIG-Bench Extra Hard
ACL 2025
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
ICML 2025
Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition
AISTATS 2025
Set Valued Predictions For Robust Domain Generalization
ICML 2025
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
AISTATS 2025
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
ICML 2021
Using deep networks for scientific discovery in physiological signals
MLHC 2020
Building Causal Graphs from Medical Literature and Electronic Medical Records
AAAI 2019