More from the Same Authors

• 2020 : Spatial Assembly:Generative Architecture With Reinforcement Learning, Self Play and Tree Search »
  Panagiotis Tigas
• 2021 : Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks »
  Andrey Malinin · Neil Band · Yarin Gal · Mark Gales · Alexander Ganshin · German Chesnokov · Alexey Noskov · Andrey Ploskonosov · Liudmila Prokhorenkova · Ivan Provilkov · Vatsal Raina · Vyas Raina · Denis Roginskiy · Mariya Shmatova · Panagiotis Tigas · Boris Yangel
• 2022 : Discovering Long-period Exoplanets using Deep Learning with Citizen Science Labels »
  Shreshth A Malik · Nora Eisner · Chris Lintott · Yarin Gal
• 2022 : Modelling non-reinforced preferences using selective attention »
  Noor Sajid · Panagiotis Tigas · Zafeirios Fountas · Qinghai Guo · Alexey Zakharov · Lancelot Da Costa
• 2022 : TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction »
  Pascal Notin · Lodevicus van Niekerk · Aaron Kollasch · Daniel Ritter · Yarin Gal · Debora Marks
• 2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
  Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
• 2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
  Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
• 2022 : What 'Out-of-distribution' Is and Is Not »
  Sebastian Farquhar · Yarin Gal
• 2022 : Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation »
  Lorenz Kuhn · Yarin Gal · Sebastian Farquhar
• 2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
  Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
• 2022 Poster: Tractable Function-Space Variational Inference in Bayesian Neural Networks »
  Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
• 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: Interventions, Where and How? Experimental Design for Causal Models at Scale »
  Panagiotis Tigas · Yashas Annadani · Andrew Jesson · Bernhard Schölkopf · Yarin Gal · Stefan Bauer
• 2022 Poster: Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation »
  Jannik Kossen · Sebastian Farquhar · Yarin Gal · Thomas Rainforth
• 2021 : Shifts Challenge: Robustness and Uncertainty under Real-World Distributional Shift + Q&A »
  Andrey Malinin · Neil Band · German Chesnokov · Yarin Gal · Alexander Ganshin · Mark Gales · Alexey Noskov · Liudmila Prokhorenkova · Mariya Shmatova · Vyas Raina · Vatsal Raina · Panagiotis Tigas · Boris Yangel
• 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
• 2018 Poster: BRUNO: A Deep Recurrent Model for Exchangeable Data »
  Iryna Korshunova · Jonas Degrave · Ferenc Huszar · Yarin Gal · Arthur Gretton · Joni Dambre