21 OATML Conference and Workshop papers at ICML 2021
OATML group members and collaborators are proud to present 21 papers at ICML 2021, including 7 papers at the main conference and 14 papers at various workshops. Group members will also be giving invited talks and participate in panel discussions at the workshops.
Invited Talks and Panel Discussions
Invited talk: Human-in-the-loop Bayesian Deep Learning
Yarin Gal
Workshop: ICML Workshop on Human in the Loop Learning (HILL)
Date: Sat 1:00 p.m. - 1:30 p.m. (BST)
Live Panel Discussion
Yarin Gal
Workshop: Uncertainty and Robustness in Deep Learning
Date: Fri 4:00 p.m. - 5:00 p.m. (BST)
Conference Papers
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
Oral Presentation: Wed Jul 21 01:00 AM – 01:20 AM (BST)
Poster: Wed Jul 21st 03:00 – 06:00 AM (BST)
Active Testing: Sample-Efficient Model Evaluation
Jannik Kossen*, Sebastian Farquhar*, Yarin Gal, Tom Rainforth
Spotlight: Thu Jul 22 03:25 PM – 03:30 PM (BST)
Poster: Thu Jul 22 04:00 PM – 07:00 PM (BST)
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Andrew Jesson, Sören Mindermann, Yarin Gal, Uri Shalit
Spotlight: Thu Jul 22 03:30 AM – 03:35 AM (BST)
Poster: Thu Jul 22 04:00 AM – 07:00 AM (BST)
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
Tim G. J. Rudner, Oscar Key, Yarin Gal, Tom Rainforth
Spotlight: Thu Jul 22 01:40 PM – 01:45 PM (BST)
Poster: Thu Jul 22 04:00 PM – 07:00 PM (BST)
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Adam Foster, Desi Ivanova, Ilyas Malik, Tom Rainforth
Oral Presentation: Thu Jul 22 02:00 PM – 02:20 PM (BST)
Poster: Thu Jul 22 04:00 PM – 07:00 PM (BST)
Probabilistic Programs with Stochastic Conditioning
David Tolpin, Yuan Zhou, Tom Rainforth, Hongseok Yang
Spotlight: Thu Jul 22 04:00 AM – 07:00 AM (BST)
Poster: Thu Jul 22 04:00 AM – 07:00 AM (BST)
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Xingchen Wan, Vu Nguyen, Huong Ha, Binxin Ru, Cong Lu, Michael A Osborne
Spotlight: Wed Jul 21 02:40 AM – 02:45 AM (BST)
Poster: Wed Jul 21 04:00 AM – 07:00 AM (BST)
Workshops Papers
Viral Evolution and Antibody Escape Mutations using Deep Generative Models
Nicole Thadani, Nathan Rollins, Sarah Gurev, Pascal Notin, Yarin Gal & Debora Marks
Workshop: ICML Workshop on Computational Biology
Date: 8:50-17:30 EDT on Saturday, 24 July 2021
Spotlight Presentation: 14:30-15:15 EDT on Saturday, 24 July 2021
Exploring the latent space of deep generative models: Applications to G-protein coupled receptors
Lood van Niekerk, Sam Berry, Mafalda Dias, Pascal Notin, Jonathan Frazer, Nikki Thadani, Debora Marks and Yarin Gal
Workshop: ICML Workshop on Computational Biology
Date: 8:50-17:30 EDT on Saturday, 24 July 2021
Exploration and preference satisfaction trade-off in reward-free learning
Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl Friston
Workshop: Unsupervised Reinforcement Learning @ ICML 2021
Date: Fri Jul 23 05:00 AM – 03:00 PM (PDT)
On Pitfalls in OoD Detection: Entropy Considered Harmful
Andreas Kirsch, Jishnu Mukhoti, Joost van Amersfoort, Philip H.S. Torr and Yarin Gal
Workshop: Uncertainty & Robustness in Deep Learning
Date: 9:45am - 10:45am (EST) on Friday, 23 July 2021
Deterministic Neural Networks with Inductive Biases Capture Epistemic and Aleatoric Uncertainty
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H.S. Torr and Yarin Gal
Workshop: Uncertainty & Robustness in Deep Learning
Date: 9:45am - 10:45am (EST) on Friday, 23 July 2021
Deep Deterministic Uncertainty for Semantic Segmentation
Jishnu Mukhoti, Joost van Amersfoort, Philip H.S. Torr, and Yarin Gal
Workshop: Uncertainty & Robustness in Deep Learning
Date: 12 PM - 1 PM (EST), Friday 23 July 2021
Rethinking Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal
Workshop: Uncertainty & Robustness in Deep Learning
Date: 12 PM - 1 PM (EST), Friday 23 July 2021
Deep Ensemble Uncertainty Fails as Network Width Increases: Why, and How to Fix It
Lisa Schut, Edward Hu, Greg Yang, and Yarin Gal
Workshop: Uncertainty & Robustness in Deep Learning
Date: 12 PM - 1 PM (EST), Friday 23 July 2021
Continual Learning via Function-Space Variational Inference: A Unifying View
Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng, Yee Whye Teh, Yarin Gal
Workshop: SubSetML: Subset Selection in Machine Learning: From Theory to Practice
Spotlight Presentation: 12:00 PM - 13:10 PM (PDT) on Saturday, 24 July 2021
Date: 09:00 AM - 09:30 AM (PDT) on Saturday, 24 July 2021
Workshop: Theory and Foundations of Continual Learning
Date: 09:00 AM - 09:30 AM (PDT) on Friday, July 23 2021
Active Learning under Pool Set Distribution Shift and Noisy Data
Andreas Kirsch, Tom Rainforth, Yarin Gal
Workshop: SubSetML: Subset Selection in Machine Learning: From Theory to Practice
Spotlight Presentation: 12:00 PM - 13:10 PM (PDT) on Saturday, 24 July 2021
Date: 09:00 AM - 09:30 AM (PDT) on Saturday, 24 July 2021
Workshop: ICML Workshop on Human in the Loop Learning (HILL)
Date: 03:20 PM - 4:20 PM (PDT) on Saturday, 24 July 2021
Batch Active Learning with Stochastic Acquisition Functions
Andreas Kirsch, Sebastian Farquhar, Yarin Gal
Workshop: SubSetML: Subset Selection in Machine Learning: From Theory to Practice
Spotlight Presentation: 12:00 PM - 13:10 PM (PDT) on Saturday, 24 July 2021
Date: 09:00 AM - 09:30 AM (PDT) on Saturday, 24 July 2021
Workshop: ICML Workshop on Human in the Loop Learning (HILL)
Date: 03:20 PM - 4:20 PM (PDT) on Saturday, 24 July 2021
A Practical Notation for Information-Theoretic Quantities between Outcomes and Random Variables
Andreas Kirsch, Yarin Gal
Workshop: SubSetML: Subset Selection in Machine Learning: From Theory to Practice
Date: 09:00 AM - 09:30 AM (PDT) on Saturday, 24 July 2021
Prioritized training on points that are learnable, worth learning, and not yet learned
Sören Mindermann, Muhammed Razzak, Winnie Xu, Andreas Kirsch, Mrinank Sharma, Adrien Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Brauner, Yarin Gal
Workshop: SubSetML: Subset Selection in Machine Learning: From Theory to Practice
Spotlight Presentation: 12:00 PM - 13:10 PM (PDT) on Saturday, 24 July 2021
Date: 09:00 AM - 09:30 AM (PDT) on Saturday, 24 July 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
Workshop: The Neglected Assumptions In Causal Inference