More from the Same Authors

• 2021 : Bandits with Partially Observable Confounded Data »
  Guy Tennenholtz · Uri Shalit · Shie Mannor · Yonathan Efroni
• 2021 : Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning »
  Guy Tennenholtz · Assaf Hallak · Gal Dalal · Shie Mannor · Gal Chechik · Uri Shalit
• 2021 : Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning »
  Guy Tennenholtz · Assaf Hallak · Gal Dalal · Shie Mannor · Gal Chechik · Uri Shalit
• 2021 : Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning »
  Guy Tennenholtz · Assaf Hallak · Gal Dalal · Shie Mannor · Gal Chechik · Uri Shalit
• 2022 : Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds »
  Yoav Wald · Gal Yona · Uri Shalit · Yair Carmon
• 2022 Poster: Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions »
  Andrew Jesson · Alyson Douglas · Peter Manshausen · Maëlys Solal · Nicolai Meinshausen · Philip Stier · Yarin Gal · Uri Shalit
• 2022 Poster: Reinforcement Learning with a Terminator »
  Guy Tennenholtz · Nadav Merlis · Lior Shani · Shie Mannor · Uri Shalit · Gal Chechik · Assaf Hallak · Gal Dalal
• 2021 Poster: Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data »
  Andrew Jesson · Panagiotis Tigas · Joost van Amersfoort · Andreas Kirsch · Uri Shalit · Yarin Gal
• 2021 Poster: On Calibration and Out-of-Domain Generalization »
  Yoav Wald · Amir Feder · Daniel Greenfeld · Uri Shalit
• 2020 Poster: Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models »
  Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal
• 2020 Poster: A causal view of compositional zero-shot recognition »
  Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik
• 2020 Spotlight: A causal view of compositional zero-shot recognition »
  Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik
• 2018 Poster: Removing Hidden Confounding by Experimental Grounding »
  Nathan Kallus · Aahlad Puli · Uri Shalit
• 2018 Spotlight: Removing Hidden Confounding by Experimental Grounding »
  Nathan Kallus · Aahlad Puli · Uri Shalit
• 2017 Workshop: Machine Learning for Health (ML4H) - What Parts of Healthcare are Ripe for Disruption by Machine Learning Right Now? »
  Jason Fries · Alex Wiltschko · Andrew Beam · Isaac S Kohane · Jasper Snoek · Peter Schulam · Madalina Fiterau · David Kale · Rajesh Ranganath · Bruno Jedynak · Michael Hughes · Tristan Naumann · Natalia Antropova · Adrian Dalca · SHUBHI ASTHANA · Prateek Tandon · Jaz Kandola · Uri Shalit · Marzyeh Ghassemi · Tim Althoff · Alexander Ratner · Jumana Dakka
• 2017 Poster: Causal Effect Inference with Deep Latent-Variable Models »
  Christos Louizos · Uri Shalit · Joris Mooij · David Sontag · Richard Zemel · Max Welling
• 2016 Workshop: Machine Learning for Health »
  Uri Shalit · Marzyeh Ghassemi · Jason Fries · Rajesh Ranganath · Theofanis Karaletsos · David Kale · Peter Schulam · Madalina Fiterau
• 2010 Spotlight: Online Learning in The Manifold of Low-Rank Matrices »
  Uri Shalit · Daphna Weinshall · Gal Chechik
• 2010 Poster: Online Learning in The Manifold of Low-Rank Matrices »
  Uri Shalit · Daphna Weinshall · Gal Chechik
• 2009 Poster: An Online Algorithm for Large Scale Image Similarity Learning »
  Gal Chechik · Uri Shalit · Varun Sharma · Samy Bengio