More from the Same Authors

• 2020 : Paper 40: Real2sim: Automatic Generation of Open Street Map Towns For Autonomous Driving Benchmarks »
  Panagiotis Tigas · Yarin Gal
• 2020 Meetup: MeetUp: Oxford, UK »
  Yarin Gal
• 2021 Spotlight: Speedy Performance Estimation for Neural Architecture Search »
  Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · Yarin Gal
• 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
• 2021 : Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks »
  Neil Band · Tim G. J. Rudner · Qixuan Feng · Angelos Filos · Zachary Nado · Mike Dusenberry · Ghassen Jerfel · Dustin Tran · Yarin Gal
• 2021 : DeDUCE: Generating Counterfactual Explanations At Scale »
  Benedikt Höltgen · Lisa Schut · Jan Brauner · Yarin Gal
• 2021 : Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks »
  Neil Band · Tim G. J. Rudner · Qixuan Feng · Angelos Filos · Zachary Nado · Mike Dusenberry · Ghassen Jerfel · Dustin Tran · Yarin Gal
• 2021 : Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific »
  Andrew Jesson · Peter Manshausen · Alyson Douglas · Duncan Watson-Parris · Yarin Gal · Philip Stier
• 2021 : DARTS without a Validation Set: Optimizing the Marginal Likelihood »
  Miroslav Fil · Robin Ru · Clare Lyle · Yarin Gal
• 2021 : Using Non-Linear Causal Models to StudyAerosol-Cloud Interactions in the Southeast Pacific »
  Andrew Jesson · Peter Manshausen · Alyson Douglas · Duncan Watson-Parris · Yarin Gal · Philip Stier
• 2021 : Can Network Flatness Explain the Training Speed-Generalisation Connection? »
  Albert Q. Jiang · Clare Lyle · Lisa Schut · Yarin Gal
• 2021 : Decomposing Representations for Deterministic Uncertainty Estimation »
  Haiwen Huang · Joost van Amersfoort · Yarin Gal
• 2021 : On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty »
  Joost van Amersfoort · Lewis Smith · Andrew Jesson · Oscar Key · Yarin Gal
• 2021 : Contrastive Representation Learning with Trainable Augmentation Channel »
  Masanori Koyama · Kentaro Minami · Takeru Miyato · Yarin Gal
• 2021 : Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning »
  Zachary Nado · Neil Band · Mark Collier · Josip Djolonga · Mike Dusenberry · Sebastian Farquhar · Qixuan Feng · Angelos Filos · Marton Havasi · Rodolphe Jenatton · Ghassen Jerfel · Jeremiah Liu · Zelda Mariet · Jeremy Nixon · Shreyas Padhy · Jie Ren · Tim G. J. Rudner · Yeming Wen · Florian Wenzel · Kevin Murphy · D. Sculley · Balaji Lakshminarayanan · Jasper Snoek · Yarin Gal · Dustin Tran
• 2021 : Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks »
  Neil Band · Tim G. J. Rudner · Qixuan Feng · Angelos Filos · Zachary Nado · Mike Dusenberry · Ghassen Jerfel · Dustin Tran · Yarin Gal
• 2022 : Discovering Long-period Exoplanets using Deep Learning with Citizen Science Labels »
  Shreshth A Malik · Nora Eisner · Chris Lintott · Yarin Gal
• 2022 : Using uncertainty-aware machine learning models to study aerosol-cloud interactions »
  Maëlys Solal · Andrew Jesson · Yarin Gal · Alyson Douglas
• 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 : Human-in-the-loop Bayesian Deep Learning »
  Yarin Gal
• 2021 : [S7] DeDUCE: Generating Counterfactual Explanations At Scale »
  Benedikt Höltgen · Lisa Schut · Jan Brauner · Yarin Gal
• 2021 Workshop: Bayesian Deep Learning »
  Yarin Gal · Yingzhen Li · Sebastian Farquhar · Christos Louizos · Eric Nalisnick · Andrew Gordon Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2021 : Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks »
  Neil Band · Tim G. J. Rudner · Qixuan Feng · Angelos Filos · Zachary Nado · Mike Dusenberry · Ghassen Jerfel · Dustin Tran · Yarin Gal
• 2021 Poster: Speedy Performance Estimation for Neural Architecture Search »
  Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · Yarin Gal
• 2021 : Evaluating Approximate Inference in Bayesian Deep Learning + Q&A »
  Andrew Gordon Wilson · Pavel Izmailov · Matthew Hoffman · Yarin Gal · Yingzhen Li · Melanie F. Pradier · Sharad Vikram · Andrew Foong · Sanae Lotfi · Sebastian Farquhar
• 2021 Poster: Outcome-Driven Reinforcement Learning via Variational Inference »
  Tim G. J. Rudner · Vitchyr Pong · Rowan McAllister · Yarin Gal · Sergey Levine
• 2021 Poster: Improving black-box optimization in VAE latent space using decoder uncertainty »
  Pascal Notin · José Miguel Hernández-Lobato · Yarin Gal
• 2021 Poster: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations »
  Tim G. J. Rudner · Cong Lu · Michael A Osborne · Yarin Gal · Yee Teh
• 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
• 2021 Poster: Domain Invariant Representation Learning with Domain Density Transformations »
  A. Tuan Nguyen · Toan Tran · Yarin Gal · Atilim Gunes Baydin
• 2021 Poster: Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning »
  Jannik Kossen · Neil Band · Clare Lyle · Aidan Gomez · Thomas Rainforth · Yarin Gal
• 2020 Poster: Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations »
  Sebastian Farquhar · Lewis Smith · Yarin Gal
• 2020 Poster: A Bayesian Perspective on Training Speed and Model Selection »
  Clare Lyle · Lisa Schut · Robin Ru · Yarin Gal · Mark van der Wilk
• 2020 Poster: Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models »
  Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal
• 2020 Poster: How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? »
  Mrinank Sharma · Sören Mindermann · Jan Brauner · Gavin Leech · Anna Stephenson · Tomáš Gavenčiak · Jan Kulveit · Yee Whye Teh · Leonid Chindelevitch · Yarin Gal
• 2020 Spotlight: How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? »
  Mrinank Sharma · Sören Mindermann · Jan Brauner · Gavin Leech · Anna Stephenson · Tomáš Gavenčiak · Jan Kulveit · Yee Whye Teh · Leonid Chindelevitch · Yarin Gal
• 2019 Workshop: Bayesian Deep Learning »
  Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Eric Nalisnick · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2019 Poster: BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning »
  Andreas Kirsch · Joost van Amersfoort · Yarin Gal
• 2018 : Invited Speaker #5 Yarin Gal »
  Yarin Gal
• 2018 Workshop: Bayesian Deep Learning »
  Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2018 : Opening Remarks »
  Yarin Gal
• 2018 Poster: BRUNO: A Deep Recurrent Model for Exchangeable Data »
  Iryna Korshunova · Jonas Degrave · Ferenc Huszar · Yarin Gal · Arthur Gretton · Joni Dambre
• 2017 Workshop: Bayesian Deep Learning »
  Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Andrew Wilson · Diederik Kingma · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2017 Poster: Concrete Dropout »
  Yarin Gal · Jiri Hron · Alex Kendall
• 2017 Poster: What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? »
  Alex Kendall · Yarin Gal
• 2017 Spotlight: What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? »
  Alex Kendall · Yarin Gal
• 2017 Poster: Real Time Image Saliency for Black Box Classifiers »
  Piotr Dabkowski · Yarin Gal
• 2016 : Panel Discussion »
  Shakir Mohamed · David Blei · Ryan Adams · José Miguel Hernández-Lobato · Ian Goodfellow · Yarin Gal
• 2016 Workshop: Bayesian Deep Learning »
  Yarin Gal · Christos Louizos · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2016 Poster: A Theoretically Grounded Application of Dropout in Recurrent Neural Networks »
  Yarin Gal · Zoubin Ghahramani
• 2014 Poster: Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models »
  Yarin Gal · Mark van der Wilk · Carl Edward Rasmussen