More from the Same Authors

• 2021 : A Practical Notation for Information-Theoretic Quantities between Outcomes and Random Variables »
  Andreas Kirsch · Yarin Gal
• 2021 : GoldiProx Selection: Faster training by learning what is learnable, not yet learned, and worth learning »
  Sören Mindermann · Muhammed Razzak · Adrien Morisot · Aidan Gomez · Sebastian Farquhar · Jan Brauner · Yarin Gal
• 2021 : Active Learning under Pool Set Distribution Shift and Noisy Data »
  Andreas Kirsch · Tom Rainforth · Yarin Gal
• 2021 : Batch Active Learning with Stochastic Acquisition Functions »
  Andreas Kirsch · Sebastian Farquhar · Yarin Gal
• 2021 : On Low Rank Training of Deep Neural Networks »
  Siddhartha Kamalakara · Acyr Locatelli · Bharat Venkitesh · Jimmy Ba · Yarin Gal · Aidan Gomez
• 2021 : 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 : A Simple Baseline for Batch Active Learning with Stochastic Acquisition Functions »
  Andreas Kirsch · Sebastian Farquhar · Yarin Gal
• 2021 : Active Learning under Pool Set Distribution Shift and Noisy Data »
  Andreas Kirsch · Tom Rainforth · Yarin Gal
• 2022 : Plex: Towards Reliability using Pretrained Large Model Extensions »
  Dustin Tran · Andreas Kirsch · Balaji Lakshminarayanan · Huiyi Hu · Du Phan · D. Sculley · Jasper Snoek · Jeremiah Liu · Jie Ren · Joost van Amersfoort · Kehang Han · E. Kelly Buchanan · Kevin Murphy · Mark Collier · Mike Dusenberry · Neil Band · Nithum Thain · Rodolphe Jenatton · Tim G. J Rudner · Yarin Gal · Zachary Nado · Zelda Mariet · Zi Wang · Zoubin Ghahramani
• 2022 : Plex: Towards Reliability using Pretrained Large Model Extensions »
  Dustin Tran · Andreas Kirsch · Balaji Lakshminarayanan · Huiyi Hu · Du Phan · D. Sculley · Jasper Snoek · Jeremiah Liu · JIE REN · Joost van Amersfoort · Kehang Han · Estefany Kelly Buchanan · Kevin Murphy · Mark Collier · Michael Dusenberry · Neil Band · Nithum Thain · Rodolphe Jenatton · Tim G. J Rudner · Yarin Gal · Zachary Nado · Zelda Mariet · Zi Wang · Zoubin Ghahramani
• 2023 Poster: DiscoBAX - Discovery of optimal intervention sets in genomic experiment design »
  Clare Lyle · Arash Mehrjou · Pascal Notin · Andrew Jesson · Stefan Bauer · Yarin Gal · Patrick Schwab
• 2023 Poster: Differentiable Multi-Target Causal Bayesian Experimental Design »
  Panagiotis Tigas · Yashas Annadani · Desi Ivanova · Andrew Jesson · Yarin Gal · Adam Foster · Stefan Bauer
• 2022 : Plex: Towards Reliability using Pretrained Large Model Extensions »
  Dustin Tran · Andreas Kirsch · Balaji Lakshminarayanan · Huiyi Hu · Du Phan · D. Sculley · Jasper Snoek · Jeremiah Liu · JIE REN · Joost van Amersfoort · Kehang Han · Estefany Kelly Buchanan · Kevin Murphy · Mark Collier · Michael Dusenberry · Neil Band · Nithum Thain · Rodolphe Jenatton · Tim G. J Rudner · Yarin Gal · Zachary Nado · Zelda Mariet · Zi Wang · Zoubin Ghahramani
• 2022 Poster: Learning Dynamics and Generalization in Deep Reinforcement Learning »
  Clare Lyle · Mark Rowland · Will Dabney · Marta Kwiatkowska · Yarin Gal
• 2022 Poster: Continual Learning via Sequential Function-Space Variational Inference »
  Tim G. J Rudner · Freddie Bickford Smith · QIXUAN FENG · Yee-Whye Teh · Yarin Gal
• 2022 Poster: Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt »
  Sören Mindermann · Jan Brauner · Muhammed Razzak · Mrinank Sharma · Andreas Kirsch · Winnie Xu · Benedikt Höltgen · Aidan Gomez · Adrien Morisot · Sebastian Farquhar · Yarin Gal
• 2022 Spotlight: Learning Dynamics and Generalization in Deep Reinforcement Learning »
  Clare Lyle · Mark Rowland · Will Dabney · Marta Kwiatkowska · Yarin Gal
• 2022 Spotlight: Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt »
  Sören Mindermann · Jan Brauner · Muhammed Razzak · Mrinank Sharma · Andreas Kirsch · Winnie Xu · Benedikt Höltgen · Aidan Gomez · Adrien Morisot · Sebastian Farquhar · Yarin Gal
• 2022 Spotlight: Continual Learning via Sequential Function-Space Variational Inference »
  Tim G. J Rudner · Freddie Bickford Smith · QIXUAN FENG · Yee-Whye Teh · Yarin Gal
• 2022 Poster: Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval »
  Pascal Notin · Mafalda Dias · Jonathan Frazer · Javier Marchena Hurtado · Aidan Gomez · Debora Marks · Yarin Gal
• 2022 Spotlight: Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval »
  Pascal Notin · Mafalda Dias · Jonathan Frazer · Javier Marchena Hurtado · Aidan Gomez · Debora Marks · Yarin Gal
• 2021 : Active Learning under Pool Set Distribution Shift and Noisy Data »
  Yarin Gal · Tom Rainforth · Andreas Kirsch
• 2021 : Live Panel Discussion »
  Thomas Dietterich · Chelsea Finn · Kamalika Chaudhuri · Yarin Gal · Uri Shalit
• 2021 Poster: Active Testing: Sample-Efficient Model Evaluation »
  Jannik Kossen · Sebastian Farquhar · Yarin Gal · Tom Rainforth
• 2021 Poster: On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes »
  Tim G. J. Rudner · Oscar Key · Yarin Gal · Tom Rainforth
• 2021 Spotlight: Active Testing: Sample-Efficient Model Evaluation »
  Jannik Kossen · Sebastian Farquhar · Yarin Gal · Tom Rainforth
• 2021 Spotlight: On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes »
  Tim G. J. Rudner · Oscar Key · Yarin Gal · Tom Rainforth
• 2021 Poster: Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding »
  Andrew Jesson · Sören Mindermann · Yarin Gal · Uri Shalit
• 2021 Spotlight: Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding »
  Andrew Jesson · Sören Mindermann · Yarin Gal · Uri Shalit
• 2021 Poster: PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning »
  Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
• 2021 Oral: PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning »
  Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
• 2020 Poster: Inter-domain Deep Gaussian Processes »
  Tim G. J. Rudner · Dino Sejdinovic · Yarin Gal
• 2020 Poster: Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? »
  Angelos Filos · Panagiotis Tigas · Rowan McAllister · Nicholas Rhinehart · Sergey Levine · Yarin Gal
• 2020 Poster: Invariant Causal Prediction for Block MDPs »
  Amy Zhang · Clare Lyle · Shagun Sodhani · Angelos Filos · Marta Kwiatkowska · Joelle Pineau · Yarin Gal · Doina Precup
• 2020 Poster: Uncertainty Estimation Using a Single Deep Deterministic Neural Network »
  Joost van Amersfoort · Lewis Smith · Yee-Whye Teh · Yarin Gal
• 2018 Poster: Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam »
  Mohammad Emtiyaz Khan · Didrik Nielsen · Voot Tangkaratt · Wu Lin · Yarin Gal · Akash Srivastava
• 2018 Oral: Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam »
  Mohammad Emtiyaz Khan · Didrik Nielsen · Voot Tangkaratt · Wu Lin · Yarin Gal · Akash Srivastava