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Uri Shalit

33 papers · 2009–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (14) 🌟 Keyword Trendsetter Combo (4) πŸ‘₯ Mega-Team (20) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (5) 🧬 Topic Evolution πŸ’Ž Century Club (33) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (114)

Conferences

NIPS (11) ICML (10) JMLR (3) AAAI (2) AISTATS (2) ICLR (2) ACL (1) MLHC (1) UAI (1)

Top co-authors

Gal Chechik (9) Andrew Jesson (5) Shie Mannor (4) Guy Tennenholtz (4) David Sontag (4) Yarin Gal (4) Nathan Kallus (3) Daphna Weinshall (3) Assaf Hallak (2) Marah Ghoummaid (2)

Keywords

causal inference (13) hidden confounding (5) online learning (5) domain adaptation (4) reinforcement learning (3) treatment effect estimation (2) matrix factorization (2) observational study (2) low-rank matrix (2) manifold optimization (2) representation learning (2) causal effect estimation (2) metric learning (2) regret bound (2) covariate shift (2) sensitivity analysis (2) similarity learning (2) uncertainty quantification (2) image similarity (2) treatment effect (2)

Papers

Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition AISTATS 2025
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees ICML 2025
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions AISTATS 2025
BIG-Bench Extra Hard ACL 2025
Set Valued Predictions For Robust Domain Generalization ICML 2025
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NIPS 2024
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds ICLR 2023
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022
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 NIPS 2022
Reinforcement Learning with a Terminator NIPS 2022
Bandits with partially observable confounded data UAI 2021
On Calibration and Out-of-Domain Generalization NIPS 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NIPS 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding ICML 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020
Using deep networks for scientific discovery in physiological signals MLHC 2020
A causal view of compositional zero-shot recognition NIPS 2020
Off-Policy Evaluation in Partially Observable Environments AAAI 2020
Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019
Removing Hidden Confounding by Experimental Grounding NIPS 2018
Estimating individual treatment effect: generalization bounds and algorithms ICML 2017
Causal Effect Inference with Deep Latent-Variable Models NIPS 2017
Learning Representations for Counterfactual Inference ICML 2016
Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014
Modeling Musical Influence with Topic Models ICML 2013
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010
Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009