More from the Same Authors

• 2021 Datasets and Benchmarks: Dataset and Benchmark Track 1 »
  Joaquin Vanschoren · Serena Yeung · Maria Xenochristou
• 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 Poster: Outcome-Driven Reinforcement Learning via Variational Inference »
  Tim G. J. Rudner · Vitchyr Pong · Rowan McAllister · Yarin Gal · Sergey Levine
• 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 »
  Tuan Nguyen · Toan Tran · Yarin Gal · Atilim Gunes Baydin
• 2021 Poster: Speedy Performance Estimation for Neural Architecture Search »
  Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · 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 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
• 2021 Workshop: eXplainable AI approaches for debugging and diagnosis »
  Roberto Capobianco · Biagio La Rosa · Leilani H Gilpin · Wen Sun · Alice Xiang · Alexander Feldman
• 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 Workshop: Distribution shifts: connecting methods and applications (DistShift) »
  Shiori Sagawa · Pang Wei Koh · Fanny Yang · Hongseok Namkoong · Jiashi Feng · Kate Saenko · Percy Liang · Sarah Bird · Sergey Levine
• 2021 Workshop: 5th Workshop on Meta-Learning »
  Erin Grant · Fábio Ferreira · Frank Hutter · Jonathan Schwarz · Joaquin Vanschoren · Huaxiu Yao
• 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 Workshop: Bayesian Deep Learning »
  Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 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 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