Uri Shalit

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Efficient coordinate-descent for orthogonal matrices through Givens rotations pdf

Gal Chechik, Uri Shalit, Gal Chechik, 2013, ArXiv.

An Online Algorithm for Large Scale Image Similarity Learning

Samy Bengio, Varun Sharma, Gal Chechik, 2009, NIPS.

Learning Sparse Metrics, One Feature at a Time

Gal Chechik, Uri Shalit, Yuval Atzmon, 2015, FE@NIPS.

Using Deep Networks for Scientific Discovery in Physiological Signals

Uri Shalit, Danny Eytan, Tom Beer, 2020, MLHC.

Harmonizing Optimized Designs With Classic Randomization in Experiments

Uri Shalit, Abba M. Krieger, Adam Kapelner, 2020 .

Estimating individual treatment effect: generalization bounds and algorithms

Uri Shalit, David Sontag, Fredrik D. Johansson, 2016, ICML.

Generative ODE Modeling with Known Unknowns pdf

Uri Shalit, Danny Eytan, Ori Linial, 2020, ICLR 2020.

Coordinate-descent for learning orthogonal matrices through Givens rotations

Gal Chechik, Uri Shalit, Gal Chechik, 2014, ICML.

Identifying Causal Effect Inference Failure with Uncertainty-Aware Models pdf

Uri Shalit, Yarin Gal, Soren Mindermann, 2020, NeurIPS.

Large Scale Online Learning of Image Similarity through Ranking

Samy Bengio, Varun Sharma, Gal Chechik, 2009, IbPRIA.

Learning Representations for Counterfactual Inference pdf

Uri Shalit, David Sontag, Fredrik D. Johansson, 2016, ICML.

Structured Inference Networks for Nonlinear State Space Models

Uri Shalit, David Sontag, Rahul G. Krishnan, 2016, AAAI.

Causal Effect Inference with Deep Latent-Variable Models

Max Welling, Joris M. Mooij, Richard S. Zemel, 2017, NIPS 2017.

Bounding and Minimizing Counterfactual Error pdf

Uri Shalit, David Sontag, Fredrik D. Johansson, 2016, ArXiv.

Off-Policy Evaluation in Partially Observable Environments

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2020, AAAI.

Modeling Musical Influence with Topic Models

Daphna Weinshall, Gal Chechik, Uri Shalit, 2013, ICML.

A causal view of compositional zero-shot recognition pdf

Gal Chechik, Uri Shalit, Yuval Atzmon, 2020, NeurIPS.

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

Uri Shalit, David Sontag, Nathan Kallus, 2020, ArXiv.

Removing Hidden Confounding by Experimental Grounding

Uri Shalit, Aahlad Manas Puli, Nathan Kallus, 2018, NeurIPS.

Large Scale Online Learning of Image Similarity Through Ranking

Samy Bengio, Varun Sharma, Gal Chechik, 2009, J. Mach. Learn. Res..

Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

Jennifer Hill, Uri Shalit, Marc Scott, 2017, Statistical Science.

Online Learning in The Manifold of Low-Rank Matrices

Daphna Weinshall, Gal Chechik, Uri Shalit, 2010, NIPS.

FuncISH: learning a functional representation of neural ISH images

Gal Chechik, Uri Shalit, Noa Liscovitch, 2013, Bioinform..

Online Learning in the Embedded Manifold of Low-rank Matrices

Daphna Weinshall, Gal Chechik, Uri Shalit, 2012, J. Mach. Learn. Res..

Deep Kalman Filters pdf

Uri Shalit, David Sontag, Rahul G. Krishnan, 2015, ArXiv.

Bandits with Partially Observable Offline Data pdf

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2020, ArXiv.

Explaining Classifiers with Causal Concept Effect (CaCE) pdf

Yash Goyal, Been Kim, Uri Shalit, 2019, ArXiv.

Building Causal Graphs from Medical Literature and Electronic Medical Records

Kira Radinsky, Benny Kimelfeld, Uri Shalit, 2019, AAAI.

Robust learning with the Hilbert-Schmidt independence criterion

Uri Shalit, Daniel Greenfeld, Uri Shalit, 2019, ICML.

CausaLM: Causal Model Explanation Through Counterfactual Language Models pdf

Uri Shalit, Roi Reichart, Amir Feder, 2020, ArXiv.

Can we learn individual-level treatment policies from clinical data?

Uri Shalit, Uri Shalit, 2019, Biostatistics.

Corporate Social Responsibility via Multi-Armed Bandits

Omer Ben-Porat, Uri Shalit, Tom Ron, 2021, FAccT.

Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding pdf

Uri Shalit, Yarin Gal, Andrew Jesson, 2021, ICML.

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data pdf

Uri Shalit, Yarin Gal, Andreas Kirsch, 2021, ArXiv.

On Calibration and Out-of-domain Generalization pdf

Uri Shalit, Amir Feder, Daniel Greenfeld, 2021, NeurIPS.

Generative ODE modeling with known unknowns

Uri Shalit, Danny Eytan, Ori Linial, 2020, CHIL.

Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression pdf

Krikamol Muandet, Uri Shalit, Bernhard Scholkopf, 2021, International Conference on Machine Learning.

CausaLM: Causal Model Explanation Through Counterfactual Language Models

Uri Shalit, Roi Reichart, Amir Feder, 2020, CL.

Bandits with partially observable confounded data

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2020, UAI.

On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning pdf

Shie Mannor, Gal Chechik, Uri Shalit, 2021, ICLR.

Computation in spinal circuitry: Lessons from behaving primates

Uri Shalit, Yuval Yanai, Zvi Israel, 2008, Behavioural Brain Research.

Descending systems translate transient cortical commands into a sustained muscle activation signal.

Uri Shalit, Yifat Prut, Mati Joshua, 2012, Cerebral cortex.